Lecture 2
Alexander Tuzhikov
November 12, 2015
1 Caret functionality
- Some preprocessing (cleaning)
preProcess
- Data splitting
createDataPartitioncreateResamplecreateTimeSlices
- Training/testing funcitions
trainpredict
- Model comparison
confusionMatrix
caret allows to unify the parameters for a wide variaty of predicting models.
library(caret)## Loading required package: lattice
## Loading required package: ggplot2library(kernlab)
data(spam)
inTrain <- createDataPartition(y=spam$type, p=0.75, list=FALSE)
training <- spam[inTrain,]
testing <- spam[-inTrain,]
dim(training)## [1] 3451 58set.seed(32343)
modelFit <- train(type ~., data = training, method="glm")
modelFit$finalModel##
## Call: NULL
##
## Coefficients:
## (Intercept) make address
## -1.672e+00 -4.711e-01 -1.647e-01
## all num3d our
## 8.728e-02 2.787e+00 7.045e-01
## over remove internet
## 8.066e-01 2.230e+00 7.391e-01
## order mail receive
## 7.448e-01 1.344e-01 -1.031e-01
## will people report
## -1.144e-01 -7.938e-02 1.181e-01
## addresses free business
## 1.007e+00 1.080e+00 1.097e+00
## email you credit
## 1.012e-01 9.281e-02 7.377e-01
## your font num000
## 2.068e-01 1.764e-01 1.914e+00
## money hp hpl
## 2.786e-01 -2.167e+00 -2.091e+00
## george num650 lab
## -2.052e+01 5.929e-01 -4.047e+00
## labs telnet num857
## -2.682e-02 -1.339e-01 9.634e+00
## data num415 num85
## -4.531e-01 9.340e-01 -1.821e+00
## technology num1999 parts
## 1.417e+00 3.529e-01 -5.781e-01
## pm direct cs
## -9.872e-01 -3.670e-01 -4.180e+01
## meeting original project
## -2.677e+00 -7.488e-01 -1.626e+00
## re edu table
## -8.088e-01 -1.599e+00 -2.444e+00
## conference charSemicolon charRoundbracket
## -4.398e+00 -1.268e+00 -6.114e-01
## charSquarebracket charExclamation charDollar
## -5.276e-01 3.308e-01 5.245e+00
## charHash capitalAve capitalLong
## 2.634e+00 4.494e-02 1.064e-02
## capitalTotal
## 7.528e-04
##
## Degrees of Freedom: 3450 Total (i.e. Null); 3393 Residual
## Null Deviance: 4628
## Residual Deviance: 1292 AIC: 1408predictions <- predict(modelFit, newdata=testing)
predictions## [1] spam spam spam spam spam spam nonspam spam
## [9] spam spam spam spam spam spam spam spam
## [17] spam spam spam spam spam spam spam spam
## [25] spam spam spam spam spam spam spam spam
## [33] spam spam spam spam spam spam spam spam
## [41] nonspam nonspam spam spam spam spam spam spam
## [49] nonspam spam spam spam nonspam spam spam spam
## [57] spam spam spam spam spam spam spam spam
## [65] spam spam nonspam spam spam nonspam spam spam
## [73] spam spam spam nonspam spam spam spam spam
## [81] spam spam spam spam spam spam spam spam
## [89] spam nonspam spam spam spam spam spam spam
## [97] spam spam spam spam spam spam spam spam
## [105] spam spam spam spam spam spam spam spam
## [113] nonspam spam spam spam nonspam spam spam spam
## [121] nonspam spam spam spam nonspam spam spam spam
## [129] spam spam spam spam spam spam nonspam nonspam
## [137] spam spam nonspam spam spam spam spam spam
## [145] spam spam spam nonspam spam spam spam spam
## [153] spam spam spam nonspam spam nonspam spam spam
## [161] spam spam spam spam spam spam spam spam
## [169] nonspam spam spam spam spam spam spam spam
## [177] spam spam spam spam spam spam spam spam
## [185] spam spam spam nonspam spam spam spam spam
## [193] spam spam spam spam spam spam spam spam
## [201] spam spam spam spam spam spam spam nonspam
## [209] spam spam spam spam spam spam spam spam
## [217] spam nonspam spam spam nonspam spam spam spam
## [225] spam spam spam spam spam spam spam spam
## [233] spam spam spam spam spam spam spam spam
## [241] spam nonspam nonspam spam spam spam spam spam
## [249] nonspam spam spam spam spam spam spam spam
## [257] spam spam spam spam spam nonspam nonspam spam
## [265] spam spam spam spam spam spam nonspam spam
## [273] spam spam spam spam spam spam spam spam
## [281] spam nonspam spam spam spam spam spam spam
## [289] spam spam nonspam spam spam spam spam spam
## [297] spam nonspam spam spam spam spam spam spam
## [305] spam spam spam spam spam spam spam spam
## [313] spam spam nonspam spam spam spam spam spam
## [321] spam spam spam nonspam spam spam spam spam
## [329] spam spam nonspam nonspam spam spam spam spam
## [337] spam spam spam spam spam spam spam spam
## [345] spam spam spam spam spam spam spam spam
## [353] spam nonspam spam spam spam spam spam spam
## [361] spam spam spam spam spam spam spam spam
## [369] nonspam spam spam nonspam spam spam spam spam
## [377] spam spam spam spam spam spam spam nonspam
## [385] spam spam nonspam spam spam spam nonspam spam
## [393] nonspam spam spam nonspam nonspam spam nonspam nonspam
## [401] spam spam spam spam spam spam spam spam
## [409] spam spam spam nonspam spam nonspam nonspam spam
## [417] nonspam nonspam spam spam nonspam nonspam nonspam spam
## [425] spam spam spam spam spam spam spam nonspam
## [433] spam spam spam spam spam spam spam spam
## [441] spam spam spam spam spam spam spam spam
## [449] spam spam spam spam spam nonspam nonspam nonspam
## [457] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [465] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [473] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [481] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [489] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [497] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [505] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [513] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [521] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [529] nonspam spam nonspam nonspam spam nonspam nonspam nonspam
## [537] nonspam nonspam nonspam nonspam nonspam nonspam nonspam spam
## [545] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [553] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [561] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [569] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [577] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [585] nonspam spam nonspam nonspam nonspam nonspam nonspam nonspam
## [593] spam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [601] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [609] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [617] nonspam spam nonspam nonspam spam nonspam nonspam nonspam
## [625] nonspam nonspam nonspam nonspam nonspam nonspam nonspam spam
## [633] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [641] nonspam spam nonspam nonspam spam nonspam nonspam spam
## [649] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [657] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [665] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [673] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [681] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [689] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [697] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [705] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [713] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [721] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [729] nonspam nonspam nonspam nonspam nonspam nonspam spam nonspam
## [737] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [745] nonspam nonspam spam nonspam nonspam nonspam nonspam nonspam
## [753] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [761] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [769] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [777] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [785] nonspam spam nonspam nonspam nonspam nonspam nonspam nonspam
## [793] nonspam nonspam nonspam nonspam spam nonspam nonspam nonspam
## [801] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [809] nonspam nonspam nonspam nonspam nonspam nonspam spam spam
## [817] nonspam nonspam nonspam nonspam nonspam nonspam nonspam spam
## [825] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [833] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [841] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [849] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [857] spam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [865] nonspam nonspam nonspam nonspam nonspam nonspam nonspam spam
## [873] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [881] nonspam nonspam nonspam nonspam spam nonspam nonspam nonspam
## [889] nonspam spam nonspam nonspam nonspam nonspam nonspam nonspam
## [897] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [905] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [913] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [921] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [929] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [937] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [945] nonspam spam nonspam nonspam nonspam nonspam nonspam spam
## [953] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [961] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [969] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [977] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [985] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [993] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1001] nonspam spam nonspam nonspam nonspam nonspam nonspam nonspam
## [1009] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1017] nonspam nonspam spam nonspam nonspam nonspam nonspam nonspam
## [1025] spam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1033] nonspam spam nonspam nonspam nonspam spam nonspam nonspam
## [1041] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1049] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1057] nonspam nonspam spam nonspam nonspam nonspam nonspam nonspam
## [1065] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1073] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1081] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1089] nonspam spam nonspam nonspam nonspam nonspam nonspam nonspam
## [1097] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1105] spam nonspam spam nonspam nonspam spam nonspam nonspam
## [1113] spam nonspam nonspam nonspam nonspam nonspam spam nonspam
## [1121] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1129] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1137] nonspam nonspam nonspam nonspam nonspam nonspam nonspam nonspam
## [1145] nonspam nonspam nonspam nonspam nonspam nonspam
## Levels: nonspam spamconfusionMatrix(predictions, testing$type)## Confusion Matrix and Statistics
##
## Reference
## Prediction nonspam spam
## nonspam 661 57
## spam 36 396
##
## Accuracy : 0.9191
## 95% CI : (0.9018, 0.9342)
## No Information Rate : 0.6061
## P-Value [Acc > NIR] : < 2e-16
##
## Kappa : 0.8293
## Mcnemar's Test P-Value : 0.03809
##
## Sensitivity : 0.9484
## Specificity : 0.8742
## Pos Pred Value : 0.9206
## Neg Pred Value : 0.9167
## Prevalence : 0.6061
## Detection Rate : 0.5748
## Detection Prevalence : 0.6243
## Balanced Accuracy : 0.9113
##
## 'Positive' Class : nonspam
## 2 Data slicing
set.seed(32323)
folds<- createFolds(y=spam$type, k=10, list=TRUE, returnTrain=TRUE)
sapply(folds, length)## Fold01 Fold02 Fold03 Fold04 Fold05 Fold06 Fold07 Fold08 Fold09 Fold10
## 4141 4140 4141 4142 4140 4142 4141 4141 4140 4141folds[[1]][1:10]## [1] 1 2 3 4 5 6 7 8 9 10set.seed(32323)
folds<- createResample(y=spam$type, times=10, list=TRUE)
sapply(folds, length)## Resample01 Resample02 Resample03 Resample04 Resample05 Resample06
## 4601 4601 4601 4601 4601 4601
## Resample07 Resample08 Resample09 Resample10
## 4601 4601 4601 4601folds[[1]][1:10]## [1] 1 2 3 3 3 5 5 7 8 12set.seed(32323)
tme<- 1:1e3
folds<- createTimeSlices(y=tme, initialWindow = 20, horizon = 10) #horizon is the number of points you are going to be predicting
names(folds)## [1] "train" "test"folds$train[[1]]## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20folds$test[[1]]## [1] 21 22 23 24 25 26 27 28 29 303 Training options
inTrain <- createDataPartition(y=spam$type, p=0.75, list=FALSE)
training <- spam[inTrain,]
testing <- spam[-inTrain,]
dim(training)## [1] 3451 58set.seed(32343)
modelFit <- train(type ~., data = training, method="glm")
args(train.default)## function (x, y, method = "rf", preProcess = NULL, ..., weights = NULL,
## metric = ifelse(is.factor(y), "Accuracy", "RMSE"), maximize = ifelse(metric %in%
## c("RMSE", "logLoss"), FALSE, TRUE), trControl = trainControl(),
## tuneGrid = NULL, tuneLength = 3)
## NULL#needs trainControls()3.1 Continous outcomes:
- RMSE = Root Mean Squared Error
- RSquared = R^2 from regression models
3.2 Categorical outcomes:
- Accurcy - Fraction correct
- Kappa - A measure of concordance
3.3 trainControl resampling
method- boot = bootstrapping
- boot632 = bootstrapping with adjustment
- cv = cross validation
- repeatedcv = repeated cross validation
- LOOCV = leave one out cross validation
number- For boot/cross validation
- Number of subsamples to take
repeats- Number of times to repeate subsampling
- if big this can slow things down
3.3.1 Setting the seed
- it is often useful to set an overall seed
- you can also set a seed for each resample
- seeding each resample is useful for parallel fits
4 Plotting predictors
library(ISLR)
library(ggplot2)
library(caret)
data(Wage)
summary(Wage)## year age sex maritl
## Min. :2003 Min. :18.00 1. Male :3000 1. Never Married: 648
## 1st Qu.:2004 1st Qu.:33.75 2. Female: 0 2. Married :2074
## Median :2006 Median :42.00 3. Widowed : 19
## Mean :2006 Mean :42.41 4. Divorced : 204
## 3rd Qu.:2008 3rd Qu.:51.00 5. Separated : 55
## Max. :2009 Max. :80.00
##
## race education region
## 1. White:2480 1. < HS Grad :268 2. Middle Atlantic :3000
## 2. Black: 293 2. HS Grad :971 1. New England : 0
## 3. Asian: 190 3. Some College :650 3. East North Central: 0
## 4. Other: 37 4. College Grad :685 4. West North Central: 0
## 5. Advanced Degree:426 5. South Atlantic : 0
## 6. East South Central: 0
## (Other) : 0
## jobclass health health_ins logwage
## 1. Industrial :1544 1. <=Good : 858 1. Yes:2083 Min. :3.000
## 2. Information:1456 2. >=Very Good:2142 2. No : 917 1st Qu.:4.447
## Median :4.653
## Mean :4.654
## 3rd Qu.:4.857
## Max. :5.763
##
## wage
## Min. : 20.09
## 1st Qu.: 85.38
## Median :104.92
## Mean :111.70
## 3rd Qu.:128.68
## Max. :318.34
## inTrain <- createDataPartition(y=Wage$wage, p=0.7, list=FALSE)
training<- Wage[inTrain,]
testing<- Wage[-inTrain,]
dim(training)## [1] 2102 12dim(testing)## [1] 898 12featurePlot(x=training[,c("age", "education", "jobclass")], y=training$wage, plot="pairs")
qplot(age, wage, data=training)
qplot(age, wage, colour=jobclass, data=training)
qplot(age, wage, colour=education, data=training) + geom_smooth(method="lm", formula=y~x)
library(Hmisc)## Loading required package: grid
## Loading required package: survival
##
## Attaching package: 'survival'
##
## The following object is masked from 'package:caret':
##
## cluster
##
## Loading required package: Formula
##
## Attaching package: 'Hmisc'
##
## The following objects are masked from 'package:base':
##
## format.pval, round.POSIXt, trunc.POSIXt, unitslibrary(pander)
cutWage<- cut2(training$wage, g=3)
pander(table(cutWage))| [ 20.1, 91.7) | [ 91.7,118.9) | [118.9,318.3] |
|---|---|---|
| 704 | 718 | 680 |
q1<- qplot(cutWage, age, data=training, fill=cutWage, geom=c("boxplot"))
q2<- qplot(cutWage, age, data=training, fill=cutWage, geom=c("boxplot", "jitter"))
library(grid)
library(gridExtra)
grid.arrange(q1, q2, ncol=2)
t1<- table(cutWage, training$jobclass)
pander(t1)| 1. Industrial | 2. Information | |
|---|---|---|
| [ 20.1, 91.7) | 447 | 257 |
| [ 91.7,118.9) | 363 | 355 |
| [118.9,318.3] | 277 | 403 |
pander(prop.table(t1,1))#proportion in each row, 2 would have been column| 1. Industrial | 2. Information | |
|---|---|---|
| [ 20.1, 91.7) | 0.6349 | 0.3651 |
| [ 91.7,118.9) | 0.5056 | 0.4944 |
| [118.9,318.3] | 0.4074 | 0.5926 |
qplot(wage, colour=education, data=training, geom="density")
4.1 Notes
- Make your plots only in trainig set
- don’t use the test set for exploration!
- Things you should be looking for
- imbalance in outcomes/predictors
- outliers
- groups of points not explained by a predictor
- skewed variables
5 Preprocessing
library(caret)
library(kernlab)
data("spam")
inTrain <- createDataPartition(y=spam$type, p=0.75, list=FALSE)
training <- spam[inTrain,]
testing <- spam[-inTrain,]
hist(training$capitalAve, main = "", xlab = "ave. capital run length")
mean(training$capitalAve)## [1] 5.309768sd(training$capitalAve)## [1] 31.43004trainCapAve <- training$capitalAve
trainCapAveS <- (trainCapAve - mean(trainCapAve))/sd(trainCapAve)
mean(trainCapAveS)## [1] 7.473785e-18sd(trainCapAveS)## [1] 1preObj<- preProcess(training[, -58], method = c("center", "scale"))
trainCapAveS<- predict(preObj, training[-58])$capitalAve
testCapAveS <- predict(preObj, testing[,-58])$capitalAve
mean(testCapAveS)## [1] -0.01505296sd(testCapAveS)## [1] 1.03795set.seed(32343)
modelFit<- train(type ~., data=training,
preProcess=c("center","scale"),
method="glm")
modelFit## Generalized Linear Model
##
## 3451 samples
## 57 predictor
## 2 classes: 'nonspam', 'spam'
##
## Pre-processing: centered (57), scaled (57)
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 3451, 3451, 3451, 3451, 3451, 3451, ...
## Resampling results
##
## Accuracy Kappa Accuracy SD Kappa SD
## 0.9177634 0.8266828 0.006656576 0.01386059
##
## #removing suspiciously variable or very volatile predictors
preObj<- preProcess(training[,-58], method = c("BoxCox"))
trainCapAveS <- predict(preObj, training[,-58])$capitalAve
par(mfrow=c(1,2))
hist(trainCapAveS)
qqnorm(trainCapAveS)
set.seed(13343)
#Make some values NA
training$capAve<- training$capitalAve
selectNA<- rbinom(dim(training)[1], size=1, prob=0.05)==1
training$capAve[selectNA]<- NA
#Impute and standardize
preObj<- preProcess(training[,-58], method="knnImpute")
capAve<- predict(preObj, training[,-58])$capAve
#Standardize true values
capAveTruth <- training$capitalAve
capAveTruth <- (capAveTruth-mean(capAveTruth))/sd(capAveTruth)- Traning and tests must be processed in the same way
- Test transformations will likely be imperfect
- especially if the test/training sets collected at different times
- Careful when transforming factor varibles!
6 Covariate creation
- Level 1: From raw data to covariate
- Level 2: Transforming tidy covariates
library(kernlab)
data(spam)
spam$capitalAveSq<- spam$capitalAve^26.1 Level 1, Raw data -> covariates
- Depends heavily on an application
- The balancing act is summarization vs. infromation loss
- Examples:
- text files: frequency of words, frequency of phrases (Google ngrams), frequency of capital letters.
- images: edges, corners, blobs, ridges (computer vision, feature detection)
- webpages: number and type of images, position of elements, colors, videos (A/B Testing)
- The more knowledge of the system you have the better the job you will do.
- When in doubt, err on the side of more features
- Can be automated, but use caution!
6.2 Level 2, Tidy covariates -> new covariates
- More necessary for some methods (regression, svms) that for others (classification trees)
- Should be done only on the training set
- The best approach is through exploratory analysis (plotting and tables)
- New covariates should be added to data frames
library(ISLR)
library(caret)
data("Wage")
inTrain<- createDataPartition(y=Wage$wage, p=0.7, list=FALSE)
training<- Wage[inTrain,]
testing<- Wage[-inTrain,]Basic idea is to turn factor variables into indicator variables.
table(training$jobclass)##
## 1. Industrial 2. Information
## 1051 1051dummies<- dummyVars(wage ~ jobclass, data=training)
head(predict(dummies, newdata=training))## jobclass.1. Industrial jobclass.2. Information
## 86582 0 1
## 161300 1 0
## 155159 0 1
## 11443 0 1
## 376662 0 1
## 450601 1 0nsv<- nearZeroVar(training, saveMetrics = TRUE)
nsv## freqRatio percentUnique zeroVar nzv
## year 1.037356 0.33301618 FALSE FALSE
## age 1.027027 2.85442436 FALSE FALSE
## sex 0.000000 0.04757374 TRUE TRUE
## maritl 3.272931 0.23786870 FALSE FALSE
## race 8.938776 0.19029496 FALSE FALSE
## education 1.389002 0.23786870 FALSE FALSE
## region 0.000000 0.04757374 TRUE TRUE
## jobclass 1.000000 0.09514748 FALSE FALSE
## health 2.468647 0.09514748 FALSE FALSE
## health_ins 2.352472 0.09514748 FALSE FALSE
## logwage 1.061728 19.17221694 FALSE FALSE
## wage 1.061728 19.17221694 FALSE FALSElibrary(splines)
bsBasis <- bs(training$age, df=3)
bsBasis## 1 2 3
## [1,] 0.236850055 0.0253767916 9.063140e-04
## [2,] 0.416337988 0.3211750193 8.258786e-02
## [3,] 0.430813836 0.2910904300 6.556091e-02
## [4,] 0.362525595 0.3866939680 1.374912e-01
## [5,] 0.306334128 0.4241549461 1.957638e-01
## [6,] 0.424154946 0.3063341278 7.374710e-02
## [7,] 0.377630828 0.0906313987 7.250512e-03
## [8,] 0.444358195 0.2275981001 3.885821e-02
## [9,] 0.442218287 0.1953987782 2.877966e-02
## [10,] 0.362525595 0.3866939680 1.374912e-01
## [11,] 0.275519452 0.4362391326 2.302373e-01
## [12,] 0.444093854 0.2114732637 3.356718e-02
## [13,] 0.443086838 0.2436977611 4.467792e-02
## [14,] 0.375000000 0.3750000000 1.250000e-01
## [15,] 0.430813836 0.2910904300 6.556091e-02
## [16,] 0.426168977 0.1482326877 1.718640e-02
## [17,] 0.000000000 0.0000000000 0.000000e+00
## [18,] 0.291090430 0.4308138364 2.125348e-01
## [19,] 0.349346279 0.3975319727 1.507880e-01
## [20,] 0.417093250 0.1331148669 1.416116e-02
## [21,] 0.426168977 0.1482326877 1.718640e-02
## [22,] 0.438655970 0.1794501695 2.447048e-02
## [23,] 0.275519452 0.4362391326 2.302373e-01
## [24,] 0.266544426 0.0339238361 1.439193e-03
## [25,] 0.406028666 0.1184250277 1.151354e-02
## [26,] 0.318229499 0.0540389715 3.058810e-03
## [27,] 0.340371253 0.0654560102 4.195898e-03
## [28,] 0.318229499 0.0540389715 3.058810e-03
## [29,] 0.430813836 0.2910904300 6.556091e-02
## [30,] 0.362525595 0.3866939680 1.374912e-01
## [31,] 0.444358195 0.2275981001 3.885821e-02
## [32,] 0.259696720 0.4403553087 2.488965e-01
## [33,] 0.266544426 0.0339238361 1.439193e-03
## [34,] 0.430813836 0.2910904300 6.556091e-02
## [35,] 0.204487093 0.0179374643 5.244873e-04
## [36,] 0.377630828 0.0906313987 7.250512e-03
## [37,] 0.195398778 0.4422182874 3.336033e-01
## [38,] 0.426168977 0.1482326877 1.718640e-02
## [39,] 0.077678661 0.3601465208 5.565901e-01
## [40,] 0.386693968 0.3625255950 1.132892e-01
## [41,] 0.375000000 0.3750000000 1.250000e-01
## [42,] 0.436239133 0.2755194522 5.800410e-02
## [43,] 0.442218287 0.1953987782 2.877966e-02
## [44,] 0.131453291 0.0066840657 1.132892e-04
## [45,] 0.243697761 0.4430868383 2.685375e-01
## [46,] 0.266544426 0.0339238361 1.439193e-03
## [47,] 0.443086838 0.2436977611 4.467792e-02
## [48,] 0.424154946 0.3063341278 7.374710e-02
## [49,] 0.424154946 0.3063341278 7.374710e-02
## [50,] 0.195398778 0.4422182874 3.336033e-01
## [51,] 0.291090430 0.4308138364 2.125348e-01
## [52,] 0.436239133 0.2755194522 5.800410e-02
## [53,] 0.266544426 0.0339238361 1.439193e-03
## [54,] 0.321175019 0.4163379880 1.798991e-01
## [55,] 0.397531973 0.3493462791 1.023338e-01
## [56,] 0.407438488 0.3355375785 9.210835e-02
## [57,] 0.426168977 0.1482326877 1.718640e-02
## [58,] 0.169380014 0.0116813803 2.685375e-04
## [59,] 0.416337988 0.3211750193 8.258786e-02
## [60,] 0.179450170 0.4386559699 3.574234e-01
## [61,] 0.306334128 0.4241549461 1.957638e-01
## [62,] 0.426168977 0.1482326877 1.718640e-02
## [63,] 0.362525595 0.3866939680 1.374912e-01
## [64,] 0.407438488 0.3355375785 9.210835e-02
## [65,] 0.440355309 0.2596967205 5.105149e-02
## [66,] 0.444093854 0.2114732637 3.356718e-02
## [67,] 0.433331375 0.1637029640 2.061445e-02
## [68,] 0.118425028 0.4060286664 4.640328e-01
## [69,] 0.442218287 0.1953987782 2.877966e-02
## [70,] 0.444358195 0.2275981001 3.885821e-02
## [71,] 0.436239133 0.2755194522 5.800410e-02
## [72,] 0.349346279 0.3975319727 1.507880e-01
## [73,] 0.444093854 0.2114732637 3.356718e-02
## [74,] 0.375000000 0.3750000000 1.250000e-01
## [75,] 0.436239133 0.2755194522 5.800410e-02
## [76,] 0.430813836 0.2910904300 6.556091e-02
## [77,] 0.227598100 0.4443581954 2.891855e-01
## [78,] 0.259696720 0.4403553087 2.488965e-01
## [79,] 0.266544426 0.0339238361 1.439193e-03
## [80,] 0.375000000 0.3750000000 1.250000e-01
## [81,] 0.444093854 0.2114732637 3.356718e-02
## [82,] 0.195398778 0.4422182874 3.336033e-01
## [83,] 0.335537578 0.4074384881 1.649156e-01
## [84,] 0.211473264 0.4440938538 3.108657e-01
## [85,] 0.407438488 0.3355375785 9.210835e-02
## [86,] 0.131453291 0.0066840657 1.132892e-04
## [87,] 0.195398778 0.4422182874 3.336033e-01
## [88,] 0.406028666 0.1184250277 1.151354e-02
## [89,] 0.243697761 0.4430868383 2.685375e-01
## [90,] 0.406028666 0.1184250277 1.151354e-02
## [91,] 0.169380014 0.0116813803 2.685375e-04
## [92,] 0.349346279 0.3975319727 1.507880e-01
## [93,] 0.424154946 0.3063341278 7.374710e-02
## [94,] 0.211473264 0.4440938538 3.108657e-01
## [95,] 0.443086838 0.2436977611 4.467792e-02
## [96,] 0.433331375 0.1637029640 2.061445e-02
## [97,] 0.433331375 0.1637029640 2.061445e-02
## [98,] 0.211473264 0.4440938538 3.108657e-01
## [99,] 0.444093854 0.2114732637 3.356718e-02
## [100,] 0.321175019 0.4163379880 1.798991e-01
## [101,] 0.259696720 0.4403553087 2.488965e-01
## [102,] 0.148232688 0.4261689772 4.084119e-01
## [103,] 0.433331375 0.1637029640 2.061445e-02
## [104,] 0.306334128 0.4241549461 1.957638e-01
## [105,] 0.416337988 0.3211750193 8.258786e-02
## [106,] 0.243697761 0.4430868383 2.685375e-01
## [107,] 0.386693968 0.3625255950 1.132892e-01
## [108,] 0.407438488 0.3355375785 9.210835e-02
## [109,] 0.407438488 0.3355375785 9.210835e-02
## [110,] 0.291090430 0.4308138364 2.125348e-01
## [111,] 0.349346279 0.3975319727 1.507880e-01
## [112,] 0.375000000 0.3750000000 1.250000e-01
## [113,] 0.426168977 0.1482326877 1.718640e-02
## [114,] 0.321175019 0.4163379880 1.798991e-01
## [115,] 0.443086838 0.2436977611 4.467792e-02
## [116,] 0.362525595 0.3866939680 1.374912e-01
## [117,] 0.444358195 0.2275981001 3.885821e-02
## [118,] 0.335537578 0.4074384881 1.649156e-01
## [119,] 0.362525595 0.3866939680 1.374912e-01
## [120,] 0.386693968 0.3625255950 1.132892e-01
## [121,] 0.397531973 0.3493462791 1.023338e-01
## [122,] 0.444358195 0.2275981001 3.885821e-02
## [123,] 0.424154946 0.3063341278 7.374710e-02
## [124,] 0.442218287 0.1953987782 2.877966e-02
## [125,] 0.335537578 0.4074384881 1.649156e-01
## [126,] 0.293645732 0.0435030714 2.148300e-03
## [127,] 0.392899701 0.1042386963 9.218388e-03
## [128,] 0.243697761 0.4430868383 2.685375e-01
## [129,] 0.377630828 0.0906313987 7.250512e-03
## [130,] 0.318229499 0.0540389715 3.058810e-03
## [131,] 0.443086838 0.2436977611 4.467792e-02
## [132,] 0.291090430 0.4308138364 2.125348e-01
## [133,] 0.433331375 0.1637029640 2.061445e-02
## [134,] 0.360146521 0.0776786613 5.584740e-03
## [135,] 0.266544426 0.0339238361 1.439193e-03
## [136,] 0.443086838 0.2436977611 4.467792e-02
## [137,] 0.318229499 0.0540389715 3.058810e-03
## [138,] 0.375000000 0.3750000000 1.250000e-01
## [139,] 0.169380014 0.0116813803 2.685375e-04
## [140,] 0.375000000 0.3750000000 1.250000e-01
## [141,] 0.266544426 0.0339238361 1.439193e-03
## [142,] 0.360146521 0.0776786613 5.584740e-03
## [143,] 0.442218287 0.1953987782 2.877966e-02
## [144,] 0.433331375 0.1637029640 2.061445e-02
## [145,] 0.243697761 0.4430868383 2.685375e-01
## [146,] 0.444358195 0.2275981001 3.885821e-02
## [147,] 0.440355309 0.2596967205 5.105149e-02
## [148,] 0.442218287 0.1953987782 2.877966e-02
## [149,] 0.179450170 0.4386559699 3.574234e-01
## [150,] 0.318229499 0.0540389715 3.058810e-03
## [151,] 0.442218287 0.1953987782 2.877966e-02
## [152,] 0.275519452 0.4362391326 2.302373e-01
## [153,] 0.438655970 0.1794501695 2.447048e-02
## [154,] 0.204487093 0.0179374643 5.244873e-04
## [155,] 0.407438488 0.3355375785 9.210835e-02
## [156,] 0.293645732 0.0435030714 2.148300e-03
## [157,] 0.430813836 0.2910904300 6.556091e-02
## [158,] 0.438655970 0.1794501695 2.447048e-02
## [159,] 0.306334128 0.4241549461 1.957638e-01
## [160,] 0.443086838 0.2436977611 4.467792e-02
## [161,] 0.426168977 0.1482326877 1.718640e-02
## [162,] 0.430813836 0.2910904300 6.556091e-02
## [163,] 0.227598100 0.4443581954 2.891855e-01
## [164,] 0.211473264 0.4440938538 3.108657e-01
## [165,] 0.375000000 0.3750000000 1.250000e-01
## [166,] 0.416337988 0.3211750193 8.258786e-02
## [167,] 0.426168977 0.1482326877 1.718640e-02
## [168,] 0.169380014 0.0116813803 2.685375e-04
## [169,] 0.443086838 0.2436977611 4.467792e-02
## [170,] 0.440355309 0.2596967205 5.105149e-02
## [171,] 0.438655970 0.1794501695 2.447048e-02
## [172,] 0.397531973 0.3493462791 1.023338e-01
## [173,] 0.433331375 0.1637029640 2.061445e-02
## [174,] 0.443086838 0.2436977611 4.467792e-02
## [175,] 0.259696720 0.4403553087 2.488965e-01
## [176,] 0.033923836 0.2665444262 6.980925e-01
## [177,] 0.360146521 0.0776786613 5.584740e-03
## [178,] 0.377630828 0.0906313987 7.250512e-03
## [179,] 0.360146521 0.0776786613 5.584740e-03
## [180,] 0.438655970 0.1794501695 2.447048e-02
## [181,] 0.444358195 0.2275981001 3.885821e-02
## [182,] 0.386693968 0.3625255950 1.132892e-01
## [183,] 0.416337988 0.3211750193 8.258786e-02
## [184,] 0.362525595 0.3866939680 1.374912e-01
## [185,] 0.243697761 0.4430868383 2.685375e-01
## [186,] 0.386693968 0.3625255950 1.132892e-01
## [187,] 0.440355309 0.2596967205 5.105149e-02
## [188,] 0.318229499 0.0540389715 3.058810e-03
## [189,] 0.424154946 0.3063341278 7.374710e-02
## [190,] 0.406028666 0.1184250277 1.151354e-02
## [191,] 0.407438488 0.3355375785 9.210835e-02
## [192,] 0.169380014 0.0116813803 2.685375e-04
## [193,] 0.321175019 0.4163379880 1.798991e-01
## [194,] 0.426168977 0.1482326877 1.718640e-02
## [195,] 0.444093854 0.2114732637 3.356718e-02
## [196,] 0.266544426 0.0339238361 1.439193e-03
## [197,] 0.360146521 0.0776786613 5.584740e-03
## [198,] 0.340371253 0.0654560102 4.195898e-03
## [199,] 0.291090430 0.4308138364 2.125348e-01
## [200,] 0.275519452 0.4362391326 2.302373e-01
## [201,] 0.195398778 0.4422182874 3.336033e-01
## [202,] 0.397531973 0.3493462791 1.023338e-01
## [203,] 0.335537578 0.4074384881 1.649156e-01
## [204,] 0.417093250 0.1331148669 1.416116e-02
## [205,] 0.243697761 0.4430868383 2.685375e-01
## [206,] 0.318229499 0.0540389715 3.058810e-03
## [207,] 0.335537578 0.4074384881 1.649156e-01
## [208,] 0.416337988 0.3211750193 8.258786e-02
## [209,] 0.169380014 0.0116813803 2.685375e-04
## [210,] 0.266544426 0.0339238361 1.439193e-03
## [211,] 0.438655970 0.1794501695 2.447048e-02
## [212,] 0.392899701 0.1042386963 9.218388e-03
## [213,] 0.335537578 0.4074384881 1.649156e-01
## [214,] 0.407438488 0.3355375785 9.210835e-02
## [215,] 0.416337988 0.3211750193 8.258786e-02
## [216,] 0.443086838 0.2436977611 4.467792e-02
## [217,] 0.436239133 0.2755194522 5.800410e-02
## [218,] 0.440355309 0.2596967205 5.105149e-02
## [219,] 0.266544426 0.0339238361 1.439193e-03
## [220,] 0.236850055 0.0253767916 9.063140e-04
## [221,] 0.349346279 0.3975319727 1.507880e-01
## [222,] 0.440355309 0.2596967205 5.105149e-02
## [223,] 0.377630828 0.0906313987 7.250512e-03
## [224,] 0.291090430 0.4308138364 2.125348e-01
## [225,] 0.204487093 0.0179374643 5.244873e-04
## [226,] 0.211473264 0.4440938538 3.108657e-01
## [227,] 0.443086838 0.2436977611 4.467792e-02
## [228,] 0.000000000 0.0000000000 1.000000e+00
## [229,] 0.443086838 0.2436977611 4.467792e-02
## [230,] 0.433331375 0.1637029640 2.061445e-02
## [231,] 0.291090430 0.4308138364 2.125348e-01
## [232,] 0.236850055 0.0253767916 9.063140e-04
## [233,] 0.444358195 0.2275981001 3.885821e-02
## [234,] 0.377630828 0.0906313987 7.250512e-03
## [235,] 0.090631399 0.3776308281 5.244873e-01
## [236,] 0.306334128 0.4241549461 1.957638e-01
## [237,] 0.318229499 0.0540389715 3.058810e-03
## [238,] 0.426168977 0.1482326877 1.718640e-02
## [239,] 0.321175019 0.4163379880 1.798991e-01
## [240,] 0.227598100 0.4443581954 2.891855e-01
## [241,] 0.416337988 0.3211750193 8.258786e-02
## [242,] 0.430813836 0.2910904300 6.556091e-02
## [243,] 0.377630828 0.0906313987 7.250512e-03
## [244,] 0.436239133 0.2755194522 5.800410e-02
## [245,] 0.204487093 0.0179374643 5.244873e-04
## [246,] 0.243697761 0.4430868383 2.685375e-01
## [247,] 0.417093250 0.1331148669 1.416116e-02
## [248,] 0.275519452 0.4362391326 2.302373e-01
## [249,] 0.442218287 0.1953987782 2.877966e-02
## [250,] 0.417093250 0.1331148669 1.416116e-02
## [251,] 0.362525595 0.3866939680 1.374912e-01
## [252,] 0.430813836 0.2910904300 6.556091e-02
## [253,] 0.321175019 0.4163379880 1.798991e-01
## [254,] 0.442218287 0.1953987782 2.877966e-02
## [255,] 0.090631399 0.0030210466 3.356718e-05
## [256,] 0.293645732 0.0435030714 2.148300e-03
## [257,] 0.360146521 0.0776786613 5.584740e-03
## [258,] 0.259696720 0.4403553087 2.488965e-01
## [259,] 0.397531973 0.3493462791 1.023338e-01
## [260,] 0.444093854 0.2114732637 3.356718e-02
## [261,] 0.204487093 0.0179374643 5.244873e-04
## [262,] 0.392899701 0.1042386963 9.218388e-03
## [263,] 0.430813836 0.2910904300 6.556091e-02
## [264,] 0.417093250 0.1331148669 1.416116e-02
## [265,] 0.386693968 0.3625255950 1.132892e-01
## [266,] 0.377630828 0.0906313987 7.250512e-03
## [267,] 0.424154946 0.3063341278 7.374710e-02
## [268,] 0.444093854 0.2114732637 3.356718e-02
## [269,] 0.397531973 0.3493462791 1.023338e-01
## [270,] 0.340371253 0.0654560102 4.195898e-03
## [271,] 0.204487093 0.0179374643 5.244873e-04
## [272,] 0.318229499 0.0540389715 3.058810e-03
## [273,] 0.417093250 0.1331148669 1.416116e-02
## [274,] 0.375000000 0.3750000000 1.250000e-01
## [275,] 0.318229499 0.0540389715 3.058810e-03
## [276,] 0.386693968 0.3625255950 1.132892e-01
## [277,] 0.444093854 0.2114732637 3.356718e-02
## [278,] 0.243697761 0.4430868383 2.685375e-01
## [279,] 0.407438488 0.3355375785 9.210835e-02
## [280,] 0.321175019 0.4163379880 1.798991e-01
## [281,] 0.436239133 0.2755194522 5.800410e-02
## [282,] 0.443086838 0.2436977611 4.467792e-02
## [283,] 0.433331375 0.1637029640 2.061445e-02
## [284,] 0.362525595 0.3866939680 1.374912e-01
## [285,] 0.426168977 0.1482326877 1.718640e-02
## [286,] 0.386693968 0.3625255950 1.132892e-01
## [287,] 0.375000000 0.3750000000 1.250000e-01
## [288,] 0.440355309 0.2596967205 5.105149e-02
## [289,] 0.243697761 0.4430868383 2.685375e-01
## [290,] 0.362525595 0.3866939680 1.374912e-01
## [291,] 0.444093854 0.2114732637 3.356718e-02
## [292,] 0.377630828 0.0906313987 7.250512e-03
## [293,] 0.424154946 0.3063341278 7.374710e-02
## [294,] 0.243697761 0.4430868383 2.685375e-01
## [295,] 0.416337988 0.3211750193 8.258786e-02
## [296,] 0.424154946 0.3063341278 7.374710e-02
## [297,] 0.416337988 0.3211750193 8.258786e-02
## [298,] 0.349346279 0.3975319727 1.507880e-01
## [299,] 0.195398778 0.4422182874 3.336033e-01
## [300,] 0.416337988 0.3211750193 8.258786e-02
## [301,] 0.426168977 0.1482326877 1.718640e-02
## [302,] 0.417093250 0.1331148669 1.416116e-02
## [303,] 0.362525595 0.3866939680 1.374912e-01
## [304,] 0.362525595 0.3866939680 1.374912e-01
## [305,] 0.444358195 0.2275981001 3.885821e-02
## [306,] 0.293645732 0.0435030714 2.148300e-03
## [307,] 0.375000000 0.3750000000 1.250000e-01
## [308,] 0.392899701 0.1042386963 9.218388e-03
## [309,] 0.275519452 0.4362391326 2.302373e-01
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## [314,] 0.416337988 0.3211750193 8.258786e-02
## [315,] 0.386693968 0.3625255950 1.132892e-01
## [316,] 0.417093250 0.1331148669 1.416116e-02
## [317,] 0.392899701 0.1042386963 9.218388e-03
## [318,] 0.386693968 0.3625255950 1.132892e-01
## [319,] 0.433331375 0.1637029640 2.061445e-02
## [320,] 0.397531973 0.3493462791 1.023338e-01
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## [322,] 0.407438488 0.3355375785 9.210835e-02
## [323,] 0.397531973 0.3493462791 1.023338e-01
## [324,] 0.375000000 0.3750000000 1.250000e-01
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## [326,] 0.349346279 0.3975319727 1.507880e-01
## [327,] 0.407438488 0.3355375785 9.210835e-02
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## [339,] 0.440355309 0.2596967205 5.105149e-02
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## [343,] 0.440355309 0.2596967205 5.105149e-02
## [344,] 0.204487093 0.0179374643 5.244873e-04
## [345,] 0.416337988 0.3211750193 8.258786e-02
## [346,] 0.163702964 0.4333313752 3.823512e-01
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## [348,] 0.377630828 0.0906313987 7.250512e-03
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## [353,] 0.397531973 0.3493462791 1.023338e-01
## [354,] 0.397531973 0.3493462791 1.023338e-01
## [355,] 0.444358195 0.2275981001 3.885821e-02
## [356,] 0.362525595 0.3866939680 1.374912e-01
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## [358,] 0.416337988 0.3211750193 8.258786e-02
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## [360,] 0.436239133 0.2755194522 5.800410e-02
## [361,] 0.275519452 0.4362391326 2.302373e-01
## [362,] 0.362525595 0.3866939680 1.374912e-01
## [363,] 0.321175019 0.4163379880 1.798991e-01
## [364,] 0.444093854 0.2114732637 3.356718e-02
## [365,] 0.275519452 0.4362391326 2.302373e-01
## [366,] 0.362525595 0.3866939680 1.374912e-01
## [367,] 0.375000000 0.3750000000 1.250000e-01
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## [369,] 0.362525595 0.3866939680 1.374912e-01
## [370,] 0.321175019 0.4163379880 1.798991e-01
## [371,] 0.340371253 0.0654560102 4.195898e-03
## [372,] 0.416337988 0.3211750193 8.258786e-02
## [373,] 0.236850055 0.0253767916 9.063140e-04
## [374,] 0.266544426 0.0339238361 1.439193e-03
## [375,] 0.397531973 0.3493462791 1.023338e-01
## [376,] 0.444093854 0.2114732637 3.356718e-02
## [377,] 0.417093250 0.1331148669 1.416116e-02
## [378,] 0.444358195 0.2275981001 3.885821e-02
## [379,] 0.407438488 0.3355375785 9.210835e-02
## [380,] 0.195398778 0.4422182874 3.336033e-01
## [381,] 0.406028666 0.1184250277 1.151354e-02
## [382,] 0.195398778 0.4422182874 3.336033e-01
## [383,] 0.416337988 0.3211750193 8.258786e-02
## [384,] 0.243697761 0.4430868383 2.685375e-01
## [385,] 0.266544426 0.0339238361 1.439193e-03
## [386,] 0.426168977 0.1482326877 1.718640e-02
## [387,] 0.424154946 0.3063341278 7.374710e-02
## [388,] 0.148232688 0.4261689772 4.084119e-01
## [389,] 0.306334128 0.4241549461 1.957638e-01
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## [391,] 0.392899701 0.1042386963 9.218388e-03
## [392,] 0.266544426 0.0339238361 1.439193e-03
## [393,] 0.349346279 0.3975319727 1.507880e-01
## [394,] 0.340371253 0.0654560102 4.195898e-03
## [395,] 0.321175019 0.4163379880 1.798991e-01
## [396,] 0.407438488 0.3355375785 9.210835e-02
## [397,] 0.444093854 0.2114732637 3.356718e-02
## [398,] 0.444358195 0.2275981001 3.885821e-02
## [399,] 0.442218287 0.1953987782 2.877966e-02
## [400,] 0.227598100 0.4443581954 2.891855e-01
## [401,] 0.417093250 0.1331148669 1.416116e-02
## [402,] 0.204487093 0.0179374643 5.244873e-04
## [403,] 0.442218287 0.1953987782 2.877966e-02
## [404,] 0.318229499 0.0540389715 3.058810e-03
## [405,] 0.397531973 0.3493462791 1.023338e-01
## [406,] 0.335537578 0.4074384881 1.649156e-01
## [407,] 0.442218287 0.1953987782 2.877966e-02
## [408,] 0.426168977 0.1482326877 1.718640e-02
## [409,] 0.349346279 0.3975319727 1.507880e-01
## [410,] 0.362525595 0.3866939680 1.374912e-01
## [411,] 0.306334128 0.4241549461 1.957638e-01
## [412,] 0.362525595 0.3866939680 1.374912e-01
## [413,] 0.406028666 0.1184250277 1.151354e-02
## [414,] 0.442218287 0.1953987782 2.877966e-02
## [415,] 0.046838810 0.0007678494 4.195898e-06
## [416,] 0.406028666 0.1184250277 1.151354e-02
## [417,] 0.436239133 0.2755194522 5.800410e-02
## [418,] 0.430813836 0.2910904300 6.556091e-02
## [419,] 0.424154946 0.3063341278 7.374710e-02
## [420,] 0.443086838 0.2436977611 4.467792e-02
## [421,] 0.430813836 0.2910904300 6.556091e-02
## [422,] 0.406028666 0.1184250277 1.151354e-02
## [423,] 0.195398778 0.4422182874 3.336033e-01
## [424,] 0.397531973 0.3493462791 1.023338e-01
## [425,] 0.291090430 0.4308138364 2.125348e-01
## [426,] 0.335537578 0.4074384881 1.649156e-01
## [427,] 0.318229499 0.0540389715 3.058810e-03
## [428,] 0.169380014 0.0116813803 2.685375e-04
## [429,] 0.436239133 0.2755194522 5.800410e-02
## [430,] 0.392899701 0.1042386963 9.218388e-03
## [431,] 0.227598100 0.4443581954 2.891855e-01
## [432,] 0.438655970 0.1794501695 2.447048e-02
## [433,] 0.406028666 0.1184250277 1.151354e-02
## [434,] 0.406028666 0.1184250277 1.151354e-02
## [435,] 0.266544426 0.0339238361 1.439193e-03
## [436,] 0.430813836 0.2910904300 6.556091e-02
## [437,] 0.424154946 0.3063341278 7.374710e-02
## [438,] 0.259696720 0.4403553087 2.488965e-01
## [439,] 0.440355309 0.2596967205 5.105149e-02
## [440,] 0.444093854 0.2114732637 3.356718e-02
## [441,] 0.243697761 0.4430868383 2.685375e-01
## [442,] 0.227598100 0.4443581954 2.891855e-01
## [443,] 0.444358195 0.2275981001 3.885821e-02
## [444,] 0.424154946 0.3063341278 7.374710e-02
## [445,] 0.065456010 0.3403712531 5.899768e-01
## [446,] 0.318229499 0.0540389715 3.058810e-03
## [447,] 0.397531973 0.3493462791 1.023338e-01
## [448,] 0.360146521 0.0776786613 5.584740e-03
## [449,] 0.436239133 0.2755194522 5.800410e-02
## [450,] 0.349346279 0.3975319727 1.507880e-01
## [451,] 0.444358195 0.2275981001 3.885821e-02
## [452,] 0.204487093 0.0179374643 5.244873e-04
## [453,] 0.392899701 0.1042386963 9.218388e-03
## [454,] 0.227598100 0.4443581954 2.891855e-01
## [455,] 0.436239133 0.2755194522 5.800410e-02
## [456,] 0.433331375 0.1637029640 2.061445e-02
## [457,] 0.444093854 0.2114732637 3.356718e-02
## [458,] 0.416337988 0.3211750193 8.258786e-02
## [459,] 0.243697761 0.4430868383 2.685375e-01
## [460,] 0.293645732 0.0435030714 2.148300e-03
## [461,] 0.377630828 0.0906313987 7.250512e-03
## [462,] 0.306334128 0.4241549461 1.957638e-01
## [463,] 0.335537578 0.4074384881 1.649156e-01
## [464,] 0.033923836 0.2665444262 6.980925e-01
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## [466,] 0.321175019 0.4163379880 1.798991e-01
## [467,] 0.335537578 0.4074384881 1.649156e-01
## [468,] 0.259696720 0.4403553087 2.488965e-01
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## [470,] 0.349346279 0.3975319727 1.507880e-01
## [471,] 0.430813836 0.2910904300 6.556091e-02
## [472,] 0.362525595 0.3866939680 1.374912e-01
## [473,] 0.321175019 0.4163379880 1.798991e-01
## [474,] 0.306334128 0.4241549461 1.957638e-01
## [475,] 0.443086838 0.2436977611 4.467792e-02
## [476,] 0.377630828 0.0906313987 7.250512e-03
## [477,] 0.416337988 0.3211750193 8.258786e-02
## [478,] 0.291090430 0.4308138364 2.125348e-01
## [479,] 0.416337988 0.3211750193 8.258786e-02
## [480,] 0.424154946 0.3063341278 7.374710e-02
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## [482,] 0.440355309 0.2596967205 5.105149e-02
## [483,] 0.335537578 0.4074384881 1.649156e-01
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## [486,] 0.318229499 0.0540389715 3.058810e-03
## [487,] 0.430813836 0.2910904300 6.556091e-02
## [488,] 0.407438488 0.3355375785 9.210835e-02
## [489,] 0.386693968 0.3625255950 1.132892e-01
## [490,] 0.360146521 0.0776786613 5.584740e-03
## [491,] 0.236850055 0.0253767916 9.063140e-04
## [492,] 0.362525595 0.3866939680 1.374912e-01
## [493,] 0.236850055 0.0253767916 9.063140e-04
## [494,] 0.436239133 0.2755194522 5.800410e-02
## [495,] 0.375000000 0.3750000000 1.250000e-01
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## [497,] 0.440355309 0.2596967205 5.105149e-02
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## [499,] 0.236850055 0.0253767916 9.063140e-04
## [500,] 0.424154946 0.3063341278 7.374710e-02
## [501,] 0.266544426 0.0339238361 1.439193e-03
## [502,] 0.443086838 0.2436977611 4.467792e-02
## [503,] 0.266544426 0.0339238361 1.439193e-03
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## [505,] 0.243697761 0.4430868383 2.685375e-01
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## [509,] 0.416337988 0.3211750193 8.258786e-02
## [510,] 0.430813836 0.2910904300 6.556091e-02
## [511,] 0.416337988 0.3211750193 8.258786e-02
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## [517,] 0.293645732 0.0435030714 2.148300e-03
## [518,] 0.375000000 0.3750000000 1.250000e-01
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## [524,] 0.416337988 0.3211750193 8.258786e-02
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## [526,] 0.243697761 0.4430868383 2.685375e-01
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## [528,] 0.375000000 0.3750000000 1.250000e-01
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## [532,] 0.440355309 0.2596967205 5.105149e-02
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## [539,] 0.417093250 0.1331148669 1.416116e-02
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## [542,] 0.386693968 0.3625255950 1.132892e-01
## [543,] 0.291090430 0.4308138364 2.125348e-01
## [544,] 0.407438488 0.3355375785 9.210835e-02
## [545,] 0.386693968 0.3625255950 1.132892e-01
## [546,] 0.204487093 0.0179374643 5.244873e-04
## [547,] 0.211473264 0.4440938538 3.108657e-01
## [548,] 0.426168977 0.1482326877 1.718640e-02
## [549,] 0.416337988 0.3211750193 8.258786e-02
## [550,] 0.340371253 0.0654560102 4.195898e-03
## [551,] 0.417093250 0.1331148669 1.416116e-02
## [552,] 0.243697761 0.4430868383 2.685375e-01
## [553,] 0.397531973 0.3493462791 1.023338e-01
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## [555,] 0.275519452 0.4362391326 2.302373e-01
## [556,] 0.275519452 0.4362391326 2.302373e-01
## [557,] 0.204487093 0.0179374643 5.244873e-04
## [558,] 0.416337988 0.3211750193 8.258786e-02
## [559,] 0.243697761 0.4430868383 2.685375e-01
## [560,] 0.377630828 0.0906313987 7.250512e-03
## [561,] 0.386693968 0.3625255950 1.132892e-01
## [562,] 0.442218287 0.1953987782 2.877966e-02
## [563,] 0.375000000 0.3750000000 1.250000e-01
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## [577,] 0.444093854 0.2114732637 3.356718e-02
## [578,] 0.392899701 0.1042386963 9.218388e-03
## [579,] 0.321175019 0.4163379880 1.798991e-01
## [580,] 0.131453291 0.0066840657 1.132892e-04
## [581,] 0.444093854 0.2114732637 3.356718e-02
## [582,] 0.340371253 0.0654560102 4.195898e-03
## [583,] 0.406028666 0.1184250277 1.151354e-02
## [584,] 0.340371253 0.0654560102 4.195898e-03
## [585,] 0.436239133 0.2755194522 5.800410e-02
## [586,] 0.340371253 0.0654560102 4.195898e-03
## [587,] 0.386693968 0.3625255950 1.132892e-01
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## [589,] 0.442218287 0.1953987782 2.877966e-02
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## [592,] 0.442218287 0.1953987782 2.877966e-02
## [593,] 0.417093250 0.1331148669 1.416116e-02
## [594,] 0.046838810 0.0007678494 4.195898e-06
## [595,] 0.362525595 0.3866939680 1.374912e-01
## [596,] 0.443086838 0.2436977611 4.467792e-02
## [597,] 0.118425028 0.4060286664 4.640328e-01
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## [599,] 0.417093250 0.1331148669 1.416116e-02
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## [601,] 0.397531973 0.3493462791 1.023338e-01
## [602,] 0.291090430 0.4308138364 2.125348e-01
## [603,] 0.417093250 0.1331148669 1.416116e-02
## [604,] 0.275519452 0.4362391326 2.302373e-01
## [605,] 0.397531973 0.3493462791 1.023338e-01
## [606,] 0.416337988 0.3211750193 8.258786e-02
## [607,] 0.424154946 0.3063341278 7.374710e-02
## [608,] 0.266544426 0.0339238361 1.439193e-03
## [609,] 0.416337988 0.3211750193 8.258786e-02
## [610,] 0.275519452 0.4362391326 2.302373e-01
## [611,] 0.397531973 0.3493462791 1.023338e-01
## [612,] 0.444358195 0.2275981001 3.885821e-02
## [613,] 0.386693968 0.3625255950 1.132892e-01
## [614,] 0.436239133 0.2755194522 5.800410e-02
## [615,] 0.291090430 0.4308138364 2.125348e-01
## [616,] 0.195398778 0.4422182874 3.336033e-01
## [617,] 0.444358195 0.2275981001 3.885821e-02
## [618,] 0.377630828 0.0906313987 7.250512e-03
## [619,] 0.375000000 0.3750000000 1.250000e-01
## [620,] 0.417093250 0.1331148669 1.416116e-02
## [621,] 0.392899701 0.1042386963 9.218388e-03
## [622,] 0.291090430 0.4308138364 2.125348e-01
## [623,] 0.438655970 0.1794501695 2.447048e-02
## [624,] 0.417093250 0.1331148669 1.416116e-02
## [625,] 0.386693968 0.3625255950 1.132892e-01
## [626,] 0.211473264 0.4440938538 3.108657e-01
## [627,] 0.340371253 0.0654560102 4.195898e-03
## [628,] 0.360146521 0.0776786613 5.584740e-03
## [629,] 0.406028666 0.1184250277 1.151354e-02
## [630,] 0.417093250 0.1331148669 1.416116e-02
## [631,] 0.443086838 0.2436977611 4.467792e-02
## [632,] 0.436239133 0.2755194522 5.800410e-02
## [633,] 0.444358195 0.2275981001 3.885821e-02
## [634,] 0.424154946 0.3063341278 7.374710e-02
## [635,] 0.430813836 0.2910904300 6.556091e-02
## [636,] 0.424154946 0.3063341278 7.374710e-02
## [637,] 0.360146521 0.0776786613 5.584740e-03
## [638,] 0.397531973 0.3493462791 1.023338e-01
## [639,] 0.407438488 0.3355375785 9.210835e-02
## [640,] 0.335537578 0.4074384881 1.649156e-01
## [641,] 0.444093854 0.2114732637 3.356718e-02
## [642,] 0.436239133 0.2755194522 5.800410e-02
## [643,] 0.275519452 0.4362391326 2.302373e-01
## [644,] 0.360146521 0.0776786613 5.584740e-03
## [645,] 0.417093250 0.1331148669 1.416116e-02
## [646,] 0.417093250 0.1331148669 1.416116e-02
## [647,] 0.440355309 0.2596967205 5.105149e-02
## [648,] 0.424154946 0.3063341278 7.374710e-02
## [649,] 0.416337988 0.3211750193 8.258786e-02
## [650,] 0.243697761 0.4430868383 2.685375e-01
## [651,] 0.360146521 0.0776786613 5.584740e-03
## [652,] 0.436239133 0.2755194522 5.800410e-02
## [653,] 0.397531973 0.3493462791 1.023338e-01
## [654,] 0.377630828 0.0906313987 7.250512e-03
## [655,] 0.444358195 0.2275981001 3.885821e-02
## [656,] 0.375000000 0.3750000000 1.250000e-01
## [657,] 0.424154946 0.3063341278 7.374710e-02
## [658,] 0.306334128 0.4241549461 1.957638e-01
## [659,] 0.436239133 0.2755194522 5.800410e-02
## [660,] 0.444358195 0.2275981001 3.885821e-02
## [661,] 0.377630828 0.0906313987 7.250512e-03
## [662,] 0.417093250 0.1331148669 1.416116e-02
## [663,] 0.444093854 0.2114732637 3.356718e-02
## [664,] 0.335537578 0.4074384881 1.649156e-01
## [665,] 0.306334128 0.4241549461 1.957638e-01
## [666,] 0.179450170 0.4386559699 3.574234e-01
## [667,] 0.259696720 0.4403553087 2.488965e-01
## [668,] 0.406028666 0.1184250277 1.151354e-02
## [669,] 0.443086838 0.2436977611 4.467792e-02
## [670,] 0.375000000 0.3750000000 1.250000e-01
## [671,] 0.306334128 0.4241549461 1.957638e-01
## [672,] 0.386693968 0.3625255950 1.132892e-01
## [673,] 0.407438488 0.3355375785 9.210835e-02
## [674,] 0.377630828 0.0906313987 7.250512e-03
## [675,] 0.318229499 0.0540389715 3.058810e-03
## [676,] 0.291090430 0.4308138364 2.125348e-01
## [677,] 0.406028666 0.1184250277 1.151354e-02
## [678,] 0.375000000 0.3750000000 1.250000e-01
## [679,] 0.362525595 0.3866939680 1.374912e-01
## [680,] 0.362525595 0.3866939680 1.374912e-01
## [681,] 0.424154946 0.3063341278 7.374710e-02
## [682,] 0.259696720 0.4403553087 2.488965e-01
## [683,] 0.043503071 0.2936457319 6.607029e-01
## [684,] 0.204487093 0.0179374643 5.244873e-04
## [685,] 0.392899701 0.1042386963 9.218388e-03
## [686,] 0.407438488 0.3355375785 9.210835e-02
## [687,] 0.291090430 0.4308138364 2.125348e-01
## [688,] 0.424154946 0.3063341278 7.374710e-02
## [689,] 0.424154946 0.3063341278 7.374710e-02
## [690,] 0.406028666 0.1184250277 1.151354e-02
## [691,] 0.211473264 0.4440938538 3.108657e-01
## [692,] 0.386693968 0.3625255950 1.132892e-01
## [693,] 0.306334128 0.4241549461 1.957638e-01
## [694,] 0.360146521 0.0776786613 5.584740e-03
## [695,] 0.433331375 0.1637029640 2.061445e-02
## [696,] 0.266544426 0.0339238361 1.439193e-03
## [697,] 0.349346279 0.3975319727 1.507880e-01
## [698,] 0.417093250 0.1331148669 1.416116e-02
## [699,] 0.227598100 0.4443581954 2.891855e-01
## [700,] 0.179450170 0.4386559699 3.574234e-01
## [701,] 0.340371253 0.0654560102 4.195898e-03
## [702,] 0.335537578 0.4074384881 1.649156e-01
## [703,] 0.360146521 0.0776786613 5.584740e-03
## [704,] 0.426168977 0.1482326877 1.718640e-02
## [705,] 0.266544426 0.0339238361 1.439193e-03
## [706,] 0.118425028 0.4060286664 4.640328e-01
## [707,] 0.430813836 0.2910904300 6.556091e-02
## [708,] 0.416337988 0.3211750193 8.258786e-02
## [709,] 0.433331375 0.1637029640 2.061445e-02
## [710,] 0.375000000 0.3750000000 1.250000e-01
## [711,] 0.211473264 0.4440938538 3.108657e-01
## [712,] 0.291090430 0.4308138364 2.125348e-01
## [713,] 0.406028666 0.1184250277 1.151354e-02
## [714,] 0.321175019 0.4163379880 1.798991e-01
## [715,] 0.259696720 0.4403553087 2.488965e-01
## [716,] 0.349346279 0.3975319727 1.507880e-01
## [717,] 0.275519452 0.4362391326 2.302373e-01
## [718,] 0.377630828 0.0906313987 7.250512e-03
## [719,] 0.131453291 0.0066840657 1.132892e-04
## [720,] 0.211473264 0.4440938538 3.108657e-01
## [721,] 0.211473264 0.4440938538 3.108657e-01
## [722,] 0.386693968 0.3625255950 1.132892e-01
## [723,] 0.444358195 0.2275981001 3.885821e-02
## [724,] 0.406028666 0.1184250277 1.151354e-02
## [725,] 0.349346279 0.3975319727 1.507880e-01
## [726,] 0.424154946 0.3063341278 7.374710e-02
## [727,] 0.407438488 0.3355375785 9.210835e-02
## [728,] 0.236850055 0.0253767916 9.063140e-04
## [729,] 0.442218287 0.1953987782 2.877966e-02
## [730,] 0.043503071 0.2936457319 6.607029e-01
## [731,] 0.362525595 0.3866939680 1.374912e-01
## [732,] 0.318229499 0.0540389715 3.058810e-03
## [733,] 0.440355309 0.2596967205 5.105149e-02
## [734,] 0.090631399 0.0030210466 3.356718e-05
## [735,] 0.375000000 0.3750000000 1.250000e-01
## [736,] 0.266544426 0.0339238361 1.439193e-03
## [737,] 0.321175019 0.4163379880 1.798991e-01
## [738,] 0.416337988 0.3211750193 8.258786e-02
## [739,] 0.406028666 0.1184250277 1.151354e-02
## [740,] 0.397531973 0.3493462791 1.023338e-01
## [741,] 0.293645732 0.0435030714 2.148300e-03
## [742,] 0.392899701 0.1042386963 9.218388e-03
## [743,] 0.406028666 0.1184250277 1.151354e-02
## [744,] 0.362525595 0.3866939680 1.374912e-01
## [745,] 0.375000000 0.3750000000 1.250000e-01
## [746,] 0.266544426 0.0339238361 1.439193e-03
## [747,] 0.211473264 0.4440938538 3.108657e-01
## [748,] 0.179450170 0.4386559699 3.574234e-01
## [749,] 0.163702964 0.4333313752 3.823512e-01
## [750,] 0.360146521 0.0776786613 5.584740e-03
## [751,] 0.349346279 0.3975319727 1.507880e-01
## [752,] 0.340371253 0.0654560102 4.195898e-03
## [753,] 0.438655970 0.1794501695 2.447048e-02
## [754,] 0.340371253 0.0654560102 4.195898e-03
## [755,] 0.444093854 0.2114732637 3.356718e-02
## [756,] 0.433331375 0.1637029640 2.061445e-02
## [757,] 0.407438488 0.3355375785 9.210835e-02
## [758,] 0.442218287 0.1953987782 2.877966e-02
## [759,] 0.227598100 0.4443581954 2.891855e-01
## [760,] 0.349346279 0.3975319727 1.507880e-01
## [761,] 0.293645732 0.0435030714 2.148300e-03
## [762,] 0.406028666 0.1184250277 1.151354e-02
## [763,] 0.204487093 0.0179374643 5.244873e-04
## [764,] 0.362525595 0.3866939680 1.374912e-01
## [765,] 0.266544426 0.0339238361 1.439193e-03
## [766,] 0.430813836 0.2910904300 6.556091e-02
## [767,] 0.438655970 0.1794501695 2.447048e-02
## [768,] 0.362525595 0.3866939680 1.374912e-01
## [769,] 0.426168977 0.1482326877 1.718640e-02
## [770,] 0.426168977 0.1482326877 1.718640e-02
## [771,] 0.444358195 0.2275981001 3.885821e-02
## [772,] 0.443086838 0.2436977611 4.467792e-02
## [773,] 0.406028666 0.1184250277 1.151354e-02
## [774,] 0.163702964 0.4333313752 3.823512e-01
## [775,] 0.104238696 0.3928997013 4.936432e-01
## [776,] 0.444358195 0.2275981001 3.885821e-02
## [777,] 0.392899701 0.1042386963 9.218388e-03
## [778,] 0.195398778 0.4422182874 3.336033e-01
## [779,] 0.131453291 0.0066840657 1.132892e-04
## [780,] 0.321175019 0.4163379880 1.798991e-01
## [781,] 0.436239133 0.2755194522 5.800410e-02
## [782,] 0.306334128 0.4241549461 1.957638e-01
## [783,] 0.438655970 0.1794501695 2.447048e-02
## [784,] 0.211473264 0.4440938538 3.108657e-01
## [785,] 0.436239133 0.2755194522 5.800410e-02
## [786,] 0.440355309 0.2596967205 5.105149e-02
## [787,] 0.426168977 0.1482326877 1.718640e-02
## [788,] 0.169380014 0.0116813803 2.685375e-04
## [789,] 0.397531973 0.3493462791 1.023338e-01
## [790,] 0.227598100 0.4443581954 2.891855e-01
## [791,] 0.360146521 0.0776786613 5.584740e-03
## [792,] 0.406028666 0.1184250277 1.151354e-02
## [793,] 0.375000000 0.3750000000 1.250000e-01
## [794,] 0.417093250 0.1331148669 1.416116e-02
## [795,] 0.349346279 0.3975319727 1.507880e-01
## [796,] 0.442218287 0.1953987782 2.877966e-02
## [797,] 0.163702964 0.4333313752 3.823512e-01
## [798,] 0.443086838 0.2436977611 4.467792e-02
## [799,] 0.416337988 0.3211750193 8.258786e-02
## [800,] 0.133114867 0.4170932496 4.356307e-01
## [801,] 0.362525595 0.3866939680 1.374912e-01
## [802,] 0.386693968 0.3625255950 1.132892e-01
## [803,] 0.377630828 0.0906313987 7.250512e-03
## [804,] 0.442218287 0.1953987782 2.877966e-02
## [805,] 0.349346279 0.3975319727 1.507880e-01
## [806,] 0.291090430 0.4308138364 2.125348e-01
## [807,] 0.417093250 0.1331148669 1.416116e-02
## [808,] 0.426168977 0.1482326877 1.718640e-02
## [809,] 0.375000000 0.3750000000 1.250000e-01
## [810,] 0.179450170 0.4386559699 3.574234e-01
## [811,] 0.392899701 0.1042386963 9.218388e-03
## [812,] 0.430813836 0.2910904300 6.556091e-02
## [813,] 0.430813836 0.2910904300 6.556091e-02
## [814,] 0.386693968 0.3625255950 1.132892e-01
## [815,] 0.386693968 0.3625255950 1.132892e-01
## [816,] 0.360146521 0.0776786613 5.584740e-03
## [817,] 0.335537578 0.4074384881 1.649156e-01
## [818,] 0.443086838 0.2436977611 4.467792e-02
## [819,] 0.306334128 0.4241549461 1.957638e-01
## [820,] 0.444093854 0.2114732637 3.356718e-02
## [821,] 0.340371253 0.0654560102 4.195898e-03
## [822,] 0.417093250 0.1331148669 1.416116e-02
## [823,] 0.424154946 0.3063341278 7.374710e-02
## [824,] 0.440355309 0.2596967205 5.105149e-02
## [825,] 0.392899701 0.1042386963 9.218388e-03
## [826,] 0.236850055 0.0253767916 9.063140e-04
## [827,] 0.426168977 0.1482326877 1.718640e-02
## [828,] 0.340371253 0.0654560102 4.195898e-03
## [829,] 0.377630828 0.0906313987 7.250512e-03
## [830,] 0.416337988 0.3211750193 8.258786e-02
## [831,] 0.433331375 0.1637029640 2.061445e-02
## [832,] 0.397531973 0.3493462791 1.023338e-01
## [833,] 0.054038972 0.3182294988 6.246727e-01
## [834,] 0.444358195 0.2275981001 3.885821e-02
## [835,] 0.440355309 0.2596967205 5.105149e-02
## [836,] 0.090631399 0.0030210466 3.356718e-05
## [837,] 0.426168977 0.1482326877 1.718640e-02
## [838,] 0.293645732 0.0435030714 2.148300e-03
## [839,] 0.349346279 0.3975319727 1.507880e-01
## [840,] 0.266544426 0.0339238361 1.439193e-03
## [841,] 0.442218287 0.1953987782 2.877966e-02
## [842,] 0.291090430 0.4308138364 2.125348e-01
## [843,] 0.444358195 0.2275981001 3.885821e-02
## [844,] 0.407438488 0.3355375785 9.210835e-02
## [845,] 0.386693968 0.3625255950 1.132892e-01
## [846,] 0.306334128 0.4241549461 1.957638e-01
## [847,] 0.386693968 0.3625255950 1.132892e-01
## [848,] 0.397531973 0.3493462791 1.023338e-01
## [849,] 0.090631399 0.0030210466 3.356718e-05
## [850,] 0.442218287 0.1953987782 2.877966e-02
## [851,] 0.407438488 0.3355375785 9.210835e-02
## [852,] 0.306334128 0.4241549461 1.957638e-01
## [853,] 0.349346279 0.3975319727 1.507880e-01
## [854,] 0.406028666 0.1184250277 1.151354e-02
## [855,] 0.433331375 0.1637029640 2.061445e-02
## [856,] 0.179450170 0.4386559699 3.574234e-01
## [857,] 0.397531973 0.3493462791 1.023338e-01
## [858,] 0.340371253 0.0654560102 4.195898e-03
## [859,] 0.195398778 0.4422182874 3.336033e-01
## [860,] 0.293645732 0.0435030714 2.148300e-03
## [861,] 0.436239133 0.2755194522 5.800410e-02
## [862,] 0.392899701 0.1042386963 9.218388e-03
## [863,] 0.424154946 0.3063341278 7.374710e-02
## [864,] 0.407438488 0.3355375785 9.210835e-02
## [865,] 0.306334128 0.4241549461 1.957638e-01
## [866,] 0.443086838 0.2436977611 4.467792e-02
## [867,] 0.444093854 0.2114732637 3.356718e-02
## [868,] 0.430813836 0.2910904300 6.556091e-02
## [869,] 0.377630828 0.0906313987 7.250512e-03
## [870,] 0.243697761 0.4430868383 2.685375e-01
## [871,] 0.416337988 0.3211750193 8.258786e-02
## [872,] 0.397531973 0.3493462791 1.023338e-01
## [873,] 0.397531973 0.3493462791 1.023338e-01
## [874,] 0.227598100 0.4443581954 2.891855e-01
## [875,] 0.443086838 0.2436977611 4.467792e-02
## [876,] 0.436239133 0.2755194522 5.800410e-02
## [877,] 0.360146521 0.0776786613 5.584740e-03
## [878,] 0.243697761 0.4430868383 2.685375e-01
## [879,] 0.433331375 0.1637029640 2.061445e-02
## [880,] 0.386693968 0.3625255950 1.132892e-01
## [881,] 0.318229499 0.0540389715 3.058810e-03
## [882,] 0.443086838 0.2436977611 4.467792e-02
## [883,] 0.426168977 0.1482326877 1.718640e-02
## [884,] 0.090631399 0.0030210466 3.356718e-05
## [885,] 0.362525595 0.3866939680 1.374912e-01
## [886,] 0.436239133 0.2755194522 5.800410e-02
## [887,] 0.416337988 0.3211750193 8.258786e-02
## [888,] 0.227598100 0.4443581954 2.891855e-01
## [889,] 0.104238696 0.3928997013 4.936432e-01
## [890,] 0.293645732 0.0435030714 2.148300e-03
## [891,] 0.426168977 0.1482326877 1.718640e-02
## [892,] 0.424154946 0.3063341278 7.374710e-02
## [893,] 0.321175019 0.4163379880 1.798991e-01
## [894,] 0.306334128 0.4241549461 1.957638e-01
## [895,] 0.291090430 0.4308138364 2.125348e-01
## [896,] 0.377630828 0.0906313987 7.250512e-03
## [897,] 0.386693968 0.3625255950 1.132892e-01
## [898,] 0.386693968 0.3625255950 1.132892e-01
## [899,] 0.377630828 0.0906313987 7.250512e-03
## [900,] 0.266544426 0.0339238361 1.439193e-03
## [901,] 0.227598100 0.4443581954 2.891855e-01
## [902,] 0.444093854 0.2114732637 3.356718e-02
## [903,] 0.443086838 0.2436977611 4.467792e-02
## [904,] 0.438655970 0.1794501695 2.447048e-02
## [905,] 0.340371253 0.0654560102 4.195898e-03
## [906,] 0.426168977 0.1482326877 1.718640e-02
## [907,] 0.444358195 0.2275981001 3.885821e-02
## [908,] 0.340371253 0.0654560102 4.195898e-03
## [909,] 0.318229499 0.0540389715 3.058810e-03
## [910,] 0.426168977 0.1482326877 1.718640e-02
## [911,] 0.444093854 0.2114732637 3.356718e-02
## [912,] 0.349346279 0.3975319727 1.507880e-01
## [913,] 0.436239133 0.2755194522 5.800410e-02
## [914,] 0.406028666 0.1184250277 1.151354e-02
## [915,] 0.318229499 0.0540389715 3.058810e-03
## [916,] 0.349346279 0.3975319727 1.507880e-01
## [917,] 0.266544426 0.0339238361 1.439193e-03
## [918,] 0.211473264 0.4440938538 3.108657e-01
## [919,] 0.179450170 0.4386559699 3.574234e-01
## [920,] 0.321175019 0.4163379880 1.798991e-01
## [921,] 0.444358195 0.2275981001 3.885821e-02
## [922,] 0.204487093 0.0179374643 5.244873e-04
## [923,] 0.397531973 0.3493462791 1.023338e-01
## [924,] 0.406028666 0.1184250277 1.151354e-02
## [925,] 0.259696720 0.4403553087 2.488965e-01
## [926,] 0.243697761 0.4430868383 2.685375e-01
## [927,] 0.397531973 0.3493462791 1.023338e-01
## [928,] 0.440355309 0.2596967205 5.105149e-02
## [929,] 0.318229499 0.0540389715 3.058810e-03
## [930,] 0.046838810 0.0007678494 4.195898e-06
## [931,] 0.424154946 0.3063341278 7.374710e-02
## [932,] 0.406028666 0.1184250277 1.151354e-02
## [933,] 0.392899701 0.1042386963 9.218388e-03
## [934,] 0.362525595 0.3866939680 1.374912e-01
## [935,] 0.335537578 0.4074384881 1.649156e-01
## [936,] 0.417093250 0.1331148669 1.416116e-02
## [937,] 0.360146521 0.0776786613 5.584740e-03
## [938,] 0.426168977 0.1482326877 1.718640e-02
## [939,] 0.169380014 0.0116813803 2.685375e-04
## [940,] 0.436239133 0.2755194522 5.800410e-02
## [941,] 0.424154946 0.3063341278 7.374710e-02
## [942,] 0.416337988 0.3211750193 8.258786e-02
## [943,] 0.407438488 0.3355375785 9.210835e-02
## [944,] 0.227598100 0.4443581954 2.891855e-01
## [945,] 0.335537578 0.4074384881 1.649156e-01
## [946,] 0.416337988 0.3211750193 8.258786e-02
## [947,] 0.321175019 0.4163379880 1.798991e-01
## [948,] 0.340371253 0.0654560102 4.195898e-03
## [949,] 0.335537578 0.4074384881 1.649156e-01
## [950,] 0.440355309 0.2596967205 5.105149e-02
## [951,] 0.424154946 0.3063341278 7.374710e-02
## [952,] 0.386693968 0.3625255950 1.132892e-01
## [953,] 0.397531973 0.3493462791 1.023338e-01
## [954,] 0.392899701 0.1042386963 9.218388e-03
## [955,] 0.340371253 0.0654560102 4.195898e-03
## [956,] 0.416337988 0.3211750193 8.258786e-02
## [957,] 0.275519452 0.4362391326 2.302373e-01
## [958,] 0.397531973 0.3493462791 1.023338e-01
## [959,] 0.440355309 0.2596967205 5.105149e-02
## [960,] 0.375000000 0.3750000000 1.250000e-01
## [961,] 0.386693968 0.3625255950 1.132892e-01
## [962,] 0.259696720 0.4403553087 2.488965e-01
## [963,] 0.416337988 0.3211750193 8.258786e-02
## [964,] 0.335537578 0.4074384881 1.649156e-01
## [965,] 0.349346279 0.3975319727 1.507880e-01
## [966,] 0.407438488 0.3355375785 9.210835e-02
## [967,] 0.416337988 0.3211750193 8.258786e-02
## [968,] 0.443086838 0.2436977611 4.467792e-02
## [969,] 0.386693968 0.3625255950 1.132892e-01
## [970,] 0.397531973 0.3493462791 1.023338e-01
## [971,] 0.416337988 0.3211750193 8.258786e-02
## [972,] 0.375000000 0.3750000000 1.250000e-01
## [973,] 0.259696720 0.4403553087 2.488965e-01
## [974,] 0.006684066 0.1314532913 8.617494e-01
## [975,] 0.386693968 0.3625255950 1.132892e-01
## [976,] 0.275519452 0.4362391326 2.302373e-01
## [977,] 0.444358195 0.2275981001 3.885821e-02
## [978,] 0.424154946 0.3063341278 7.374710e-02
## [979,] 0.375000000 0.3750000000 1.250000e-01
## [980,] 0.243697761 0.4430868383 2.685375e-01
## [981,] 0.407438488 0.3355375785 9.210835e-02
## [982,] 0.293645732 0.0435030714 2.148300e-03
## [983,] 0.195398778 0.4422182874 3.336033e-01
## [984,] 0.179450170 0.4386559699 3.574234e-01
## [985,] 0.397531973 0.3493462791 1.023338e-01
## [986,] 0.443086838 0.2436977611 4.467792e-02
## [987,] 0.433331375 0.1637029640 2.061445e-02
## [988,] 0.195398778 0.4422182874 3.336033e-01
## [989,] 0.416337988 0.3211750193 8.258786e-02
## [990,] 0.318229499 0.0540389715 3.058810e-03
## [991,] 0.360146521 0.0776786613 5.584740e-03
## [992,] 0.362525595 0.3866939680 1.374912e-01
## [993,] 0.266544426 0.0339238361 1.439193e-03
## [994,] 0.440355309 0.2596967205 5.105149e-02
## [995,] 0.444093854 0.2114732637 3.356718e-02
## [996,] 0.438655970 0.1794501695 2.447048e-02
## [997,] 0.204487093 0.0179374643 5.244873e-04
## [998,] 0.340371253 0.0654560102 4.195898e-03
## [999,] 0.436239133 0.2755194522 5.800410e-02
## [1000,] 0.442218287 0.1953987782 2.877966e-02
## [1001,] 0.243697761 0.4430868383 2.685375e-01
## [1002,] 0.148232688 0.4261689772 4.084119e-01
## [1003,] 0.416337988 0.3211750193 8.258786e-02
## [1004,] 0.443086838 0.2436977611 4.467792e-02
## [1005,] 0.291090430 0.4308138364 2.125348e-01
## [1006,] 0.407438488 0.3355375785 9.210835e-02
## [1007,] 0.291090430 0.4308138364 2.125348e-01
## [1008,] 0.321175019 0.4163379880 1.798991e-01
## [1009,] 0.417093250 0.1331148669 1.416116e-02
## [1010,] 0.306334128 0.4241549461 1.957638e-01
## [1011,] 0.406028666 0.1184250277 1.151354e-02
## [1012,] 0.306334128 0.4241549461 1.957638e-01
## [1013,] 0.444093854 0.2114732637 3.356718e-02
## [1014,] 0.392899701 0.1042386963 9.218388e-03
## [1015,] 0.440355309 0.2596967205 5.105149e-02
## [1016,] 0.416337988 0.3211750193 8.258786e-02
## [1017,] 0.375000000 0.3750000000 1.250000e-01
## [1018,] 0.362525595 0.3866939680 1.374912e-01
## [1019,] 0.443086838 0.2436977611 4.467792e-02
## [1020,] 0.360146521 0.0776786613 5.584740e-03
## [1021,] 0.406028666 0.1184250277 1.151354e-02
## [1022,] 0.349346279 0.3975319727 1.507880e-01
## [1023,] 0.436239133 0.2755194522 5.800410e-02
## [1024,] 0.227598100 0.4443581954 2.891855e-01
## [1025,] 0.392899701 0.1042386963 9.218388e-03
## [1026,] 0.360146521 0.0776786613 5.584740e-03
## [1027,] 0.293645732 0.0435030714 2.148300e-03
## [1028,] 0.362525595 0.3866939680 1.374912e-01
## [1029,] 0.179450170 0.4386559699 3.574234e-01
## [1030,] 0.433331375 0.1637029640 2.061445e-02
## [1031,] 0.169380014 0.0116813803 2.685375e-04
## [1032,] 0.291090430 0.4308138364 2.125348e-01
## [1033,] 0.163702964 0.4333313752 3.823512e-01
## [1034,] 0.430813836 0.2910904300 6.556091e-02
## [1035,] 0.375000000 0.3750000000 1.250000e-01
## [1036,] 0.438655970 0.1794501695 2.447048e-02
## [1037,] 0.293645732 0.0435030714 2.148300e-03
## [1038,] 0.407438488 0.3355375785 9.210835e-02
## [1039,] 0.169380014 0.0116813803 2.685375e-04
## [1040,] 0.163702964 0.4333313752 3.823512e-01
## [1041,] 0.424154946 0.3063341278 7.374710e-02
## [1042,] 0.349346279 0.3975319727 1.507880e-01
## [1043,] 0.407438488 0.3355375785 9.210835e-02
## [1044,] 0.430813836 0.2910904300 6.556091e-02
## [1045,] 0.443086838 0.2436977611 4.467792e-02
## [1046,] 0.440355309 0.2596967205 5.105149e-02
## [1047,] 0.349346279 0.3975319727 1.507880e-01
## [1048,] 0.426168977 0.1482326877 1.718640e-02
## [1049,] 0.416337988 0.3211750193 8.258786e-02
## [1050,] 0.433331375 0.1637029640 2.061445e-02
## [1051,] 0.417093250 0.1331148669 1.416116e-02
## [1052,] 0.407438488 0.3355375785 9.210835e-02
## [1053,] 0.424154946 0.3063341278 7.374710e-02
## [1054,] 0.362525595 0.3866939680 1.374912e-01
## [1055,] 0.291090430 0.4308138364 2.125348e-01
## [1056,] 0.375000000 0.3750000000 1.250000e-01
## [1057,] 0.397531973 0.3493462791 1.023338e-01
## [1058,] 0.443086838 0.2436977611 4.467792e-02
## [1059,] 0.131453291 0.0066840657 1.132892e-04
## [1060,] 0.211473264 0.4440938538 3.108657e-01
## [1061,] 0.275519452 0.4362391326 2.302373e-01
## [1062,] 0.195398778 0.4422182874 3.336033e-01
## [1063,] 0.424154946 0.3063341278 7.374710e-02
## [1064,] 0.430813836 0.2910904300 6.556091e-02
## [1065,] 0.360146521 0.0776786613 5.584740e-03
## [1066,] 0.444093854 0.2114732637 3.356718e-02
## [1067,] 0.293645732 0.0435030714 2.148300e-03
## [1068,] 0.340371253 0.0654560102 4.195898e-03
## [1069,] 0.416337988 0.3211750193 8.258786e-02
## [1070,] 0.444358195 0.2275981001 3.885821e-02
## [1071,] 0.417093250 0.1331148669 1.416116e-02
## [1072,] 0.424154946 0.3063341278 7.374710e-02
## [1073,] 0.386693968 0.3625255950 1.132892e-01
## [1074,] 0.416337988 0.3211750193 8.258786e-02
## [1075,] 0.275519452 0.4362391326 2.302373e-01
## [1076,] 0.443086838 0.2436977611 4.467792e-02
## [1077,] 0.054038972 0.3182294988 6.246727e-01
## [1078,] 0.377630828 0.0906313987 7.250512e-03
## [1079,] 0.416337988 0.3211750193 8.258786e-02
## [1080,] 0.440355309 0.2596967205 5.105149e-02
## [1081,] 0.443086838 0.2436977611 4.467792e-02
## [1082,] 0.227598100 0.4443581954 2.891855e-01
## [1083,] 0.444093854 0.2114732637 3.356718e-02
## [1084,] 0.293645732 0.0435030714 2.148300e-03
## [1085,] 0.321175019 0.4163379880 1.798991e-01
## [1086,] 0.407438488 0.3355375785 9.210835e-02
## [1087,] 0.436239133 0.2755194522 5.800410e-02
## [1088,] 0.377630828 0.0906313987 7.250512e-03
## [1089,] 0.426168977 0.1482326877 1.718640e-02
## [1090,] 0.335537578 0.4074384881 1.649156e-01
## [1091,] 0.335537578 0.4074384881 1.649156e-01
## [1092,] 0.306334128 0.4241549461 1.957638e-01
## [1093,] 0.397531973 0.3493462791 1.023338e-01
## [1094,] 0.131453291 0.0066840657 1.132892e-04
## [1095,] 0.043503071 0.2936457319 6.607029e-01
## [1096,] 0.444093854 0.2114732637 3.356718e-02
## [1097,] 0.321175019 0.4163379880 1.798991e-01
## [1098,] 0.433331375 0.1637029640 2.061445e-02
## [1099,] 0.211473264 0.4440938538 3.108657e-01
## [1100,] 0.444358195 0.2275981001 3.885821e-02
## [1101,] 0.195398778 0.4422182874 3.336033e-01
## [1102,] 0.148232688 0.4261689772 4.084119e-01
## [1103,] 0.407438488 0.3355375785 9.210835e-02
## [1104,] 0.266544426 0.0339238361 1.439193e-03
## [1105,] 0.000000000 0.0000000000 1.000000e+00
## [1106,] 0.349346279 0.3975319727 1.507880e-01
## [1107,] 0.243697761 0.4430868383 2.685375e-01
## [1108,] 0.335537578 0.4074384881 1.649156e-01
## [1109,] 0.416337988 0.3211750193 8.258786e-02
## [1110,] 0.392899701 0.1042386963 9.218388e-03
## [1111,] 0.375000000 0.3750000000 1.250000e-01
## [1112,] 0.397531973 0.3493462791 1.023338e-01
## [1113,] 0.444358195 0.2275981001 3.885821e-02
## [1114,] 0.321175019 0.4163379880 1.798991e-01
## [1115,] 0.442218287 0.1953987782 2.877966e-02
## [1116,] 0.335537578 0.4074384881 1.649156e-01
## [1117,] 0.444358195 0.2275981001 3.885821e-02
## [1118,] 0.163702964 0.4333313752 3.823512e-01
## [1119,] 0.204487093 0.0179374643 5.244873e-04
## [1120,] 0.179450170 0.4386559699 3.574234e-01
## [1121,] 0.430813836 0.2910904300 6.556091e-02
## [1122,] 0.426168977 0.1482326877 1.718640e-02
## [1123,] 0.444093854 0.2114732637 3.356718e-02
## [1124,] 0.266544426 0.0339238361 1.439193e-03
## [1125,] 0.377630828 0.0906313987 7.250512e-03
## [1126,] 0.417093250 0.1331148669 1.416116e-02
## [1127,] 0.360146521 0.0776786613 5.584740e-03
## [1128,] 0.406028666 0.1184250277 1.151354e-02
## [1129,] 0.306334128 0.4241549461 1.957638e-01
## [1130,] 0.236850055 0.0253767916 9.063140e-04
## [1131,] 0.377630828 0.0906313987 7.250512e-03
## [1132,] 0.397531973 0.3493462791 1.023338e-01
## [1133,] 0.424154946 0.3063341278 7.374710e-02
## [1134,] 0.440355309 0.2596967205 5.105149e-02
## [1135,] 0.306334128 0.4241549461 1.957638e-01
## [1136,] 0.266544426 0.0339238361 1.439193e-03
## [1137,] 0.375000000 0.3750000000 1.250000e-01
## [1138,] 0.433331375 0.1637029640 2.061445e-02
## [1139,] 0.118425028 0.4060286664 4.640328e-01
## [1140,] 0.259696720 0.4403553087 2.488965e-01
## [1141,] 0.397531973 0.3493462791 1.023338e-01
## [1142,] 0.275519452 0.4362391326 2.302373e-01
## [1143,] 0.426168977 0.1482326877 1.718640e-02
## [1144,] 0.204487093 0.0179374643 5.244873e-04
## [1145,] 0.430813836 0.2910904300 6.556091e-02
## [1146,] 0.438655970 0.1794501695 2.447048e-02
## [1147,] 0.169380014 0.0116813803 2.685375e-04
## [1148,] 0.362525595 0.3866939680 1.374912e-01
## [1149,] 0.243697761 0.4430868383 2.685375e-01
## [1150,] 0.424154946 0.3063341278 7.374710e-02
## [1151,] 0.362525595 0.3866939680 1.374912e-01
## [1152,] 0.291090430 0.4308138364 2.125348e-01
## [1153,] 0.406028666 0.1184250277 1.151354e-02
## [1154,] 0.362525595 0.3866939680 1.374912e-01
## [1155,] 0.236850055 0.0253767916 9.063140e-04
## [1156,] 0.321175019 0.4163379880 1.798991e-01
## [1157,] 0.266544426 0.0339238361 1.439193e-03
## [1158,] 0.259696720 0.4403553087 2.488965e-01
## [1159,] 0.430813836 0.2910904300 6.556091e-02
## [1160,] 0.443086838 0.2436977611 4.467792e-02
## [1161,] 0.444358195 0.2275981001 3.885821e-02
## [1162,] 0.406028666 0.1184250277 1.151354e-02
## [1163,] 0.386693968 0.3625255950 1.132892e-01
## [1164,] 0.433331375 0.1637029640 2.061445e-02
## [1165,] 0.335537578 0.4074384881 1.649156e-01
## [1166,] 0.362525595 0.3866939680 1.374912e-01
## [1167,] 0.433331375 0.1637029640 2.061445e-02
## [1168,] 0.318229499 0.0540389715 3.058810e-03
## [1169,] 0.259696720 0.4403553087 2.488965e-01
## [1170,] 0.386693968 0.3625255950 1.132892e-01
## [1171,] 0.440355309 0.2596967205 5.105149e-02
## [1172,] 0.227598100 0.4443581954 2.891855e-01
## [1173,] 0.291090430 0.4308138364 2.125348e-01
## [1174,] 0.426168977 0.1482326877 1.718640e-02
## [1175,] 0.430813836 0.2910904300 6.556091e-02
## [1176,] 0.430813836 0.2910904300 6.556091e-02
## [1177,] 0.417093250 0.1331148669 1.416116e-02
## [1178,] 0.131453291 0.0066840657 1.132892e-04
## [1179,] 0.306334128 0.4241549461 1.957638e-01
## [1180,] 0.306334128 0.4241549461 1.957638e-01
## [1181,] 0.433331375 0.1637029640 2.061445e-02
## [1182,] 0.204487093 0.0179374643 5.244873e-04
## [1183,] 0.195398778 0.4422182874 3.336033e-01
## [1184,] 0.349346279 0.3975319727 1.507880e-01
## [1185,] 0.090631399 0.0030210466 3.356718e-05
## [1186,] 0.349346279 0.3975319727 1.507880e-01
## [1187,] 0.133114867 0.4170932496 4.356307e-01
## [1188,] 0.442218287 0.1953987782 2.877966e-02
## [1189,] 0.236850055 0.0253767916 9.063140e-04
## [1190,] 0.438655970 0.1794501695 2.447048e-02
## [1191,] 0.417093250 0.1331148669 1.416116e-02
## [1192,] 0.438655970 0.1794501695 2.447048e-02
## [1193,] 0.406028666 0.1184250277 1.151354e-02
## [1194,] 0.416337988 0.3211750193 8.258786e-02
## [1195,] 0.417093250 0.1331148669 1.416116e-02
## [1196,] 0.397531973 0.3493462791 1.023338e-01
## [1197,] 0.442218287 0.1953987782 2.877966e-02
## [1198,] 0.259696720 0.4403553087 2.488965e-01
## [1199,] 0.397531973 0.3493462791 1.023338e-01
## [1200,] 0.360146521 0.0776786613 5.584740e-03
## [1201,] 0.442218287 0.1953987782 2.877966e-02
## [1202,] 0.259696720 0.4403553087 2.488965e-01
## [1203,] 0.444358195 0.2275981001 3.885821e-02
## [1204,] 0.227598100 0.4443581954 2.891855e-01
## [1205,] 0.392899701 0.1042386963 9.218388e-03
## [1206,] 0.293645732 0.0435030714 2.148300e-03
## [1207,] 0.444093854 0.2114732637 3.356718e-02
## [1208,] 0.349346279 0.3975319727 1.507880e-01
## [1209,] 0.406028666 0.1184250277 1.151354e-02
## [1210,] 0.375000000 0.3750000000 1.250000e-01
## [1211,] 0.443086838 0.2436977611 4.467792e-02
## [1212,] 0.211473264 0.4440938538 3.108657e-01
## [1213,] 0.377630828 0.0906313987 7.250512e-03
## [1214,] 0.440355309 0.2596967205 5.105149e-02
## [1215,] 0.406028666 0.1184250277 1.151354e-02
## [1216,] 0.440355309 0.2596967205 5.105149e-02
## [1217,] 0.321175019 0.4163379880 1.798991e-01
## [1218,] 0.433331375 0.1637029640 2.061445e-02
## [1219,] 0.430813836 0.2910904300 6.556091e-02
## [1220,] 0.362525595 0.3866939680 1.374912e-01
## [1221,] 0.046838810 0.0007678494 4.195898e-06
## [1222,] 0.321175019 0.4163379880 1.798991e-01
## [1223,] 0.169380014 0.0116813803 2.685375e-04
## [1224,] 0.375000000 0.3750000000 1.250000e-01
## [1225,] 0.417093250 0.1331148669 1.416116e-02
## [1226,] 0.392899701 0.1042386963 9.218388e-03
## [1227,] 0.430813836 0.2910904300 6.556091e-02
## [1228,] 0.443086838 0.2436977611 4.467792e-02
## [1229,] 0.386693968 0.3625255950 1.132892e-01
## [1230,] 0.407438488 0.3355375785 9.210835e-02
## [1231,] 0.243697761 0.4430868383 2.685375e-01
## [1232,] 0.362525595 0.3866939680 1.374912e-01
## [1233,] 0.444093854 0.2114732637 3.356718e-02
## [1234,] 0.417093250 0.1331148669 1.416116e-02
## [1235,] 0.335537578 0.4074384881 1.649156e-01
## [1236,] 0.321175019 0.4163379880 1.798991e-01
## [1237,] 0.442218287 0.1953987782 2.877966e-02
## [1238,] 0.306334128 0.4241549461 1.957638e-01
## [1239,] 0.306334128 0.4241549461 1.957638e-01
## [1240,] 0.266544426 0.0339238361 1.439193e-03
## [1241,] 0.433331375 0.1637029640 2.061445e-02
## [1242,] 0.360146521 0.0776786613 5.584740e-03
## [1243,] 0.430813836 0.2910904300 6.556091e-02
## [1244,] 0.291090430 0.4308138364 2.125348e-01
## [1245,] 0.386693968 0.3625255950 1.132892e-01
## [1246,] 0.436239133 0.2755194522 5.800410e-02
## [1247,] 0.430813836 0.2910904300 6.556091e-02
## [1248,] 0.406028666 0.1184250277 1.151354e-02
## [1249,] 0.090631399 0.0030210466 3.356718e-05
## [1250,] 0.430813836 0.2910904300 6.556091e-02
## [1251,] 0.243697761 0.4430868383 2.685375e-01
## [1252,] 0.444093854 0.2114732637 3.356718e-02
## [1253,] 0.204487093 0.0179374643 5.244873e-04
## [1254,] 0.306334128 0.4241549461 1.957638e-01
## [1255,] 0.118425028 0.4060286664 4.640328e-01
## [1256,] 0.397531973 0.3493462791 1.023338e-01
## [1257,] 0.444358195 0.2275981001 3.885821e-02
## [1258,] 0.433331375 0.1637029640 2.061445e-02
## [1259,] 0.443086838 0.2436977611 4.467792e-02
## [1260,] 0.443086838 0.2436977611 4.467792e-02
## [1261,] 0.433331375 0.1637029640 2.061445e-02
## [1262,] 0.293645732 0.0435030714 2.148300e-03
## [1263,] 0.204487093 0.0179374643 5.244873e-04
## [1264,] 0.195398778 0.4422182874 3.336033e-01
## [1265,] 0.236850055 0.0253767916 9.063140e-04
## [1266,] 0.362525595 0.3866939680 1.374912e-01
## [1267,] 0.169380014 0.0116813803 2.685375e-04
## [1268,] 0.179450170 0.4386559699 3.574234e-01
## [1269,] 0.440355309 0.2596967205 5.105149e-02
## [1270,] 0.306334128 0.4241549461 1.957638e-01
## [1271,] 0.360146521 0.0776786613 5.584740e-03
## [1272,] 0.444358195 0.2275981001 3.885821e-02
## [1273,] 0.054038972 0.3182294988 6.246727e-01
## [1274,] 0.169380014 0.0116813803 2.685375e-04
## [1275,] 0.386693968 0.3625255950 1.132892e-01
## [1276,] 0.433331375 0.1637029640 2.061445e-02
## [1277,] 0.407438488 0.3355375785 9.210835e-02
## [1278,] 0.291090430 0.4308138364 2.125348e-01
## [1279,] 0.438655970 0.1794501695 2.447048e-02
## [1280,] 0.131453291 0.0066840657 1.132892e-04
## [1281,] 0.440355309 0.2596967205 5.105149e-02
## [1282,] 0.406028666 0.1184250277 1.151354e-02
## [1283,] 0.438655970 0.1794501695 2.447048e-02
## [1284,] 0.340371253 0.0654560102 4.195898e-03
## [1285,] 0.440355309 0.2596967205 5.105149e-02
## [1286,] 0.291090430 0.4308138364 2.125348e-01
## [1287,] 0.424154946 0.3063341278 7.374710e-02
## [1288,] 0.440355309 0.2596967205 5.105149e-02
## [1289,] 0.259696720 0.4403553087 2.488965e-01
## [1290,] 0.291090430 0.4308138364 2.125348e-01
## [1291,] 0.438655970 0.1794501695 2.447048e-02
## [1292,] 0.430813836 0.2910904300 6.556091e-02
## [1293,] 0.318229499 0.0540389715 3.058810e-03
## [1294,] 0.406028666 0.1184250277 1.151354e-02
## [1295,] 0.444093854 0.2114732637 3.356718e-02
## [1296,] 0.340371253 0.0654560102 4.195898e-03
## [1297,] 0.436239133 0.2755194522 5.800410e-02
## [1298,] 0.349346279 0.3975319727 1.507880e-01
## [1299,] 0.291090430 0.4308138364 2.125348e-01
## [1300,] 0.444358195 0.2275981001 3.885821e-02
## [1301,] 0.436239133 0.2755194522 5.800410e-02
## [1302,] 0.204487093 0.0179374643 5.244873e-04
## [1303,] 0.443086838 0.2436977611 4.467792e-02
## [1304,] 0.443086838 0.2436977611 4.467792e-02
## [1305,] 0.349346279 0.3975319727 1.507880e-01
## [1306,] 0.011681380 0.1693800141 8.186701e-01
## [1307,] 0.318229499 0.0540389715 3.058810e-03
## [1308,] 0.266544426 0.0339238361 1.439193e-03
## [1309,] 0.318229499 0.0540389715 3.058810e-03
## [1310,] 0.417093250 0.1331148669 1.416116e-02
## [1311,] 0.349346279 0.3975319727 1.507880e-01
## [1312,] 0.169380014 0.0116813803 2.685375e-04
## [1313,] 0.397531973 0.3493462791 1.023338e-01
## [1314,] 0.426168977 0.1482326877 1.718640e-02
## [1315,] 0.397531973 0.3493462791 1.023338e-01
## [1316,] 0.392899701 0.1042386963 9.218388e-03
## [1317,] 0.397531973 0.3493462791 1.023338e-01
## [1318,] 0.375000000 0.3750000000 1.250000e-01
## [1319,] 0.443086838 0.2436977611 4.467792e-02
## [1320,] 0.349346279 0.3975319727 1.507880e-01
## [1321,] 0.392899701 0.1042386963 9.218388e-03
## [1322,] 0.386693968 0.3625255950 1.132892e-01
## [1323,] 0.275519452 0.4362391326 2.302373e-01
## [1324,] 0.407438488 0.3355375785 9.210835e-02
## [1325,] 0.321175019 0.4163379880 1.798991e-01
## [1326,] 0.406028666 0.1184250277 1.151354e-02
## [1327,] 0.291090430 0.4308138364 2.125348e-01
## [1328,] 0.433331375 0.1637029640 2.061445e-02
## [1329,] 0.417093250 0.1331148669 1.416116e-02
## [1330,] 0.417093250 0.1331148669 1.416116e-02
## [1331,] 0.440355309 0.2596967205 5.105149e-02
## [1332,] 0.436239133 0.2755194522 5.800410e-02
## [1333,] 0.243697761 0.4430868383 2.685375e-01
## [1334,] 0.416337988 0.3211750193 8.258786e-02
## [1335,] 0.397531973 0.3493462791 1.023338e-01
## [1336,] 0.426168977 0.1482326877 1.718640e-02
## [1337,] 0.430813836 0.2910904300 6.556091e-02
## [1338,] 0.243697761 0.4430868383 2.685375e-01
## [1339,] 0.424154946 0.3063341278 7.374710e-02
## [1340,] 0.438655970 0.1794501695 2.447048e-02
## [1341,] 0.397531973 0.3493462791 1.023338e-01
## [1342,] 0.275519452 0.4362391326 2.302373e-01
## [1343,] 0.444093854 0.2114732637 3.356718e-02
## [1344,] 0.424154946 0.3063341278 7.374710e-02
## [1345,] 0.275519452 0.4362391326 2.302373e-01
## [1346,] 0.349346279 0.3975319727 1.507880e-01
## [1347,] 0.440355309 0.2596967205 5.105149e-02
## [1348,] 0.335537578 0.4074384881 1.649156e-01
## [1349,] 0.318229499 0.0540389715 3.058810e-03
## [1350,] 0.335537578 0.4074384881 1.649156e-01
## [1351,] 0.349346279 0.3975319727 1.507880e-01
## [1352,] 0.349346279 0.3975319727 1.507880e-01
## [1353,] 0.340371253 0.0654560102 4.195898e-03
## [1354,] 0.375000000 0.3750000000 1.250000e-01
## [1355,] 0.195398778 0.4422182874 3.336033e-01
## [1356,] 0.204487093 0.0179374643 5.244873e-04
## [1357,] 0.321175019 0.4163379880 1.798991e-01
## [1358,] 0.291090430 0.4308138364 2.125348e-01
## [1359,] 0.386693968 0.3625255950 1.132892e-01
## [1360,] 0.362525595 0.3866939680 1.374912e-01
## [1361,] 0.375000000 0.3750000000 1.250000e-01
## [1362,] 0.375000000 0.3750000000 1.250000e-01
## [1363,] 0.430813836 0.2910904300 6.556091e-02
## [1364,] 0.407438488 0.3355375785 9.210835e-02
## [1365,] 0.386693968 0.3625255950 1.132892e-01
## [1366,] 0.046838810 0.0007678494 4.195898e-06
## [1367,] 0.275519452 0.4362391326 2.302373e-01
## [1368,] 0.424154946 0.3063341278 7.374710e-02
## [1369,] 0.436239133 0.2755194522 5.800410e-02
## [1370,] 0.406028666 0.1184250277 1.151354e-02
## [1371,] 0.406028666 0.1184250277 1.151354e-02
## [1372,] 0.430813836 0.2910904300 6.556091e-02
## [1373,] 0.259696720 0.4403553087 2.488965e-01
## [1374,] 0.104238696 0.3928997013 4.936432e-01
## [1375,] 0.392899701 0.1042386963 9.218388e-03
## [1376,] 0.375000000 0.3750000000 1.250000e-01
## [1377,] 0.440355309 0.2596967205 5.105149e-02
## [1378,] 0.433331375 0.1637029640 2.061445e-02
## [1379,] 0.417093250 0.1331148669 1.416116e-02
## [1380,] 0.321175019 0.4163379880 1.798991e-01
## [1381,] 0.430813836 0.2910904300 6.556091e-02
## [1382,] 0.438655970 0.1794501695 2.447048e-02
## [1383,] 0.444093854 0.2114732637 3.356718e-02
## [1384,] 0.243697761 0.4430868383 2.685375e-01
## [1385,] 0.416337988 0.3211750193 8.258786e-02
## [1386,] 0.426168977 0.1482326877 1.718640e-02
## [1387,] 0.131453291 0.0066840657 1.132892e-04
## [1388,] 0.444358195 0.2275981001 3.885821e-02
## [1389,] 0.340371253 0.0654560102 4.195898e-03
## [1390,] 0.306334128 0.4241549461 1.957638e-01
## [1391,] 0.236850055 0.0253767916 9.063140e-04
## [1392,] 0.392899701 0.1042386963 9.218388e-03
## [1393,] 0.424154946 0.3063341278 7.374710e-02
## [1394,] 0.377630828 0.0906313987 7.250512e-03
## [1395,] 0.440355309 0.2596967205 5.105149e-02
## [1396,] 0.293645732 0.0435030714 2.148300e-03
## [1397,] 0.406028666 0.1184250277 1.151354e-02
## [1398,] 0.436239133 0.2755194522 5.800410e-02
## [1399,] 0.424154946 0.3063341278 7.374710e-02
## [1400,] 0.377630828 0.0906313987 7.250512e-03
## [1401,] 0.243697761 0.4430868383 2.685375e-01
## [1402,] 0.417093250 0.1331148669 1.416116e-02
## [1403,] 0.340371253 0.0654560102 4.195898e-03
## [1404,] 0.430813836 0.2910904300 6.556091e-02
## [1405,] 0.375000000 0.3750000000 1.250000e-01
## [1406,] 0.438655970 0.1794501695 2.447048e-02
## [1407,] 0.397531973 0.3493462791 1.023338e-01
## [1408,] 0.426168977 0.1482326877 1.718640e-02
## [1409,] 0.179450170 0.4386559699 3.574234e-01
## [1410,] 0.424154946 0.3063341278 7.374710e-02
## [1411,] 0.386693968 0.3625255950 1.132892e-01
## [1412,] 0.275519452 0.4362391326 2.302373e-01
## [1413,] 0.362525595 0.3866939680 1.374912e-01
## [1414,] 0.377630828 0.0906313987 7.250512e-03
## [1415,] 0.426168977 0.1482326877 1.718640e-02
## [1416,] 0.349346279 0.3975319727 1.507880e-01
## [1417,] 0.321175019 0.4163379880 1.798991e-01
## [1418,] 0.443086838 0.2436977611 4.467792e-02
## [1419,] 0.426168977 0.1482326877 1.718640e-02
## [1420,] 0.438655970 0.1794501695 2.447048e-02
## [1421,] 0.306334128 0.4241549461 1.957638e-01
## [1422,] 0.179450170 0.4386559699 3.574234e-01
## [1423,] 0.417093250 0.1331148669 1.416116e-02
## [1424,] 0.424154946 0.3063341278 7.374710e-02
## [1425,] 0.000000000 0.0000000000 1.000000e+00
## [1426,] 0.349346279 0.3975319727 1.507880e-01
## [1427,] 0.211473264 0.4440938538 3.108657e-01
## [1428,] 0.417093250 0.1331148669 1.416116e-02
## [1429,] 0.340371253 0.0654560102 4.195898e-03
## [1430,] 0.275519452 0.4362391326 2.302373e-01
## [1431,] 0.275519452 0.4362391326 2.302373e-01
## [1432,] 0.426168977 0.1482326877 1.718640e-02
## [1433,] 0.416337988 0.3211750193 8.258786e-02
## [1434,] 0.275519452 0.4362391326 2.302373e-01
## [1435,] 0.340371253 0.0654560102 4.195898e-03
## [1436,] 0.442218287 0.1953987782 2.877966e-02
## [1437,] 0.275519452 0.4362391326 2.302373e-01
## [1438,] 0.169380014 0.0116813803 2.685375e-04
## [1439,] 0.211473264 0.4440938538 3.108657e-01
## [1440,] 0.377630828 0.0906313987 7.250512e-03
## [1441,] 0.362525595 0.3866939680 1.374912e-01
## [1442,] 0.444093854 0.2114732637 3.356718e-02
## [1443,] 0.291090430 0.4308138364 2.125348e-01
## [1444,] 0.444358195 0.2275981001 3.885821e-02
## [1445,] 0.436239133 0.2755194522 5.800410e-02
## [1446,] 0.054038972 0.3182294988 6.246727e-01
## [1447,] 0.375000000 0.3750000000 1.250000e-01
## [1448,] 0.416337988 0.3211750193 8.258786e-02
## [1449,] 0.440355309 0.2596967205 5.105149e-02
## [1450,] 0.417093250 0.1331148669 1.416116e-02
## [1451,] 0.397531973 0.3493462791 1.023338e-01
## [1452,] 0.204487093 0.0179374643 5.244873e-04
## [1453,] 0.406028666 0.1184250277 1.151354e-02
## [1454,] 0.377630828 0.0906313987 7.250512e-03
## [1455,] 0.306334128 0.4241549461 1.957638e-01
## [1456,] 0.335537578 0.4074384881 1.649156e-01
## [1457,] 0.377630828 0.0906313987 7.250512e-03
## [1458,] 0.406028666 0.1184250277 1.151354e-02
## [1459,] 0.321175019 0.4163379880 1.798991e-01
## [1460,] 0.392899701 0.1042386963 9.218388e-03
## [1461,] 0.362525595 0.3866939680 1.374912e-01
## [1462,] 0.440355309 0.2596967205 5.105149e-02
## [1463,] 0.397531973 0.3493462791 1.023338e-01
## [1464,] 0.442218287 0.1953987782 2.877966e-02
## [1465,] 0.236850055 0.0253767916 9.063140e-04
## [1466,] 0.321175019 0.4163379880 1.798991e-01
## [1467,] 0.444358195 0.2275981001 3.885821e-02
## [1468,] 0.397531973 0.3493462791 1.023338e-01
## [1469,] 0.438655970 0.1794501695 2.447048e-02
## [1470,] 0.211473264 0.4440938538 3.108657e-01
## [1471,] 0.430813836 0.2910904300 6.556091e-02
## [1472,] 0.090631399 0.0030210466 3.356718e-05
## [1473,] 0.318229499 0.0540389715 3.058810e-03
## [1474,] 0.362525595 0.3866939680 1.374912e-01
## [1475,] 0.275519452 0.4362391326 2.302373e-01
## [1476,] 0.046838810 0.0007678494 4.195898e-06
## [1477,] 0.433331375 0.1637029640 2.061445e-02
## [1478,] 0.416337988 0.3211750193 8.258786e-02
## [1479,] 0.306334128 0.4241549461 1.957638e-01
## [1480,] 0.436239133 0.2755194522 5.800410e-02
## [1481,] 0.349346279 0.3975319727 1.507880e-01
## [1482,] 0.386693968 0.3625255950 1.132892e-01
## [1483,] 0.362525595 0.3866939680 1.374912e-01
## [1484,] 0.442218287 0.1953987782 2.877966e-02
## [1485,] 0.444093854 0.2114732637 3.356718e-02
## [1486,] 0.440355309 0.2596967205 5.105149e-02
## [1487,] 0.349346279 0.3975319727 1.507880e-01
## [1488,] 0.349346279 0.3975319727 1.507880e-01
## [1489,] 0.430813836 0.2910904300 6.556091e-02
## [1490,] 0.426168977 0.1482326877 1.718640e-02
## [1491,] 0.430813836 0.2910904300 6.556091e-02
## [1492,] 0.227598100 0.4443581954 2.891855e-01
## [1493,] 0.195398778 0.4422182874 3.336033e-01
## [1494,] 0.375000000 0.3750000000 1.250000e-01
## [1495,] 0.306334128 0.4241549461 1.957638e-01
## [1496,] 0.440355309 0.2596967205 5.105149e-02
## [1497,] 0.360146521 0.0776786613 5.584740e-03
## [1498,] 0.118425028 0.4060286664 4.640328e-01
## [1499,] 0.426168977 0.1482326877 1.718640e-02
## [1500,] 0.440355309 0.2596967205 5.105149e-02
## [1501,] 0.293645732 0.0435030714 2.148300e-03
## [1502,] 0.306334128 0.4241549461 1.957638e-01
## [1503,] 0.424154946 0.3063341278 7.374710e-02
## [1504,] 0.321175019 0.4163379880 1.798991e-01
## [1505,] 0.306334128 0.4241549461 1.957638e-01
## [1506,] 0.179450170 0.4386559699 3.574234e-01
## [1507,] 0.443086838 0.2436977611 4.467792e-02
## [1508,] 0.444358195 0.2275981001 3.885821e-02
## [1509,] 0.291090430 0.4308138364 2.125348e-01
## [1510,] 0.259696720 0.4403553087 2.488965e-01
## [1511,] 0.416337988 0.3211750193 8.258786e-02
## [1512,] 0.340371253 0.0654560102 4.195898e-03
## [1513,] 0.243697761 0.4430868383 2.685375e-01
## [1514,] 0.335537578 0.4074384881 1.649156e-01
## [1515,] 0.392899701 0.1042386963 9.218388e-03
## [1516,] 0.163702964 0.4333313752 3.823512e-01
## [1517,] 0.436239133 0.2755194522 5.800410e-02
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## [1521,] 0.259696720 0.4403553087 2.488965e-01
## [1522,] 0.407438488 0.3355375785 9.210835e-02
## [1523,] 0.131453291 0.0066840657 1.132892e-04
## [1524,] 0.426168977 0.1482326877 1.718640e-02
## [1525,] 0.444358195 0.2275981001 3.885821e-02
## [1526,] 0.436239133 0.2755194522 5.800410e-02
## [1527,] 0.000000000 0.0000000000 1.000000e+00
## [1528,] 0.392899701 0.1042386963 9.218388e-03
## [1529,] 0.440355309 0.2596967205 5.105149e-02
## [1530,] 0.442218287 0.1953987782 2.877966e-02
## [1531,] 0.430813836 0.2910904300 6.556091e-02
## [1532,] 0.306334128 0.4241549461 1.957638e-01
## [1533,] 0.416337988 0.3211750193 8.258786e-02
## [1534,] 0.227598100 0.4443581954 2.891855e-01
## [1535,] 0.360146521 0.0776786613 5.584740e-03
## [1536,] 0.360146521 0.0776786613 5.584740e-03
## [1537,] 0.416337988 0.3211750193 8.258786e-02
## [1538,] 0.163702964 0.4333313752 3.823512e-01
## [1539,] 0.275519452 0.4362391326 2.302373e-01
## [1540,] 0.444358195 0.2275981001 3.885821e-02
## [1541,] 0.436239133 0.2755194522 5.800410e-02
## [1542,] 0.397531973 0.3493462791 1.023338e-01
## [1543,] 0.430813836 0.2910904300 6.556091e-02
## [1544,] 0.436239133 0.2755194522 5.800410e-02
## [1545,] 0.362525595 0.3866939680 1.374912e-01
## [1546,] 0.444358195 0.2275981001 3.885821e-02
## [1547,] 0.362525595 0.3866939680 1.374912e-01
## [1548,] 0.211473264 0.4440938538 3.108657e-01
## [1549,] 0.259696720 0.4403553087 2.488965e-01
## [1550,] 0.375000000 0.3750000000 1.250000e-01
## [1551,] 0.417093250 0.1331148669 1.416116e-02
## [1552,] 0.227598100 0.4443581954 2.891855e-01
## [1553,] 0.440355309 0.2596967205 5.105149e-02
## [1554,] 0.417093250 0.1331148669 1.416116e-02
## [1555,] 0.340371253 0.0654560102 4.195898e-03
## [1556,] 0.375000000 0.3750000000 1.250000e-01
## [1557,] 0.349346279 0.3975319727 1.507880e-01
## [1558,] 0.169380014 0.0116813803 2.685375e-04
## [1559,] 0.397531973 0.3493462791 1.023338e-01
## [1560,] 0.227598100 0.4443581954 2.891855e-01
## [1561,] 0.440355309 0.2596967205 5.105149e-02
## [1562,] 0.406028666 0.1184250277 1.151354e-02
## [1563,] 0.444358195 0.2275981001 3.885821e-02
## [1564,] 0.148232688 0.4261689772 4.084119e-01
## [1565,] 0.438655970 0.1794501695 2.447048e-02
## [1566,] 0.195398778 0.4422182874 3.336033e-01
## [1567,] 0.426168977 0.1482326877 1.718640e-02
## [1568,] 0.335537578 0.4074384881 1.649156e-01
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## [1570,] 0.426168977 0.1482326877 1.718640e-02
## [1571,] 0.444358195 0.2275981001 3.885821e-02
## [1572,] 0.227598100 0.4443581954 2.891855e-01
## [1573,] 0.375000000 0.3750000000 1.250000e-01
## [1574,] 0.443086838 0.2436977611 4.467792e-02
## [1575,] 0.375000000 0.3750000000 1.250000e-01
## [1576,] 0.227598100 0.4443581954 2.891855e-01
## [1577,] 0.444358195 0.2275981001 3.885821e-02
## [1578,] 0.163702964 0.4333313752 3.823512e-01
## [1579,] 0.266544426 0.0339238361 1.439193e-03
## [1580,] 0.321175019 0.4163379880 1.798991e-01
## [1581,] 0.204487093 0.0179374643 5.244873e-04
## [1582,] 0.438655970 0.1794501695 2.447048e-02
## [1583,] 0.046838810 0.0007678494 4.195898e-06
## [1584,] 0.430813836 0.2910904300 6.556091e-02
## [1585,] 0.443086838 0.2436977611 4.467792e-02
## [1586,] 0.444093854 0.2114732637 3.356718e-02
## [1587,] 0.163702964 0.4333313752 3.823512e-01
## [1588,] 0.416337988 0.3211750193 8.258786e-02
## [1589,] 0.406028666 0.1184250277 1.151354e-02
## [1590,] 0.442218287 0.1953987782 2.877966e-02
## [1591,] 0.442218287 0.1953987782 2.877966e-02
## [1592,] 0.416337988 0.3211750193 8.258786e-02
## [1593,] 0.424154946 0.3063341278 7.374710e-02
## [1594,] 0.444358195 0.2275981001 3.885821e-02
## [1595,] 0.417093250 0.1331148669 1.416116e-02
## [1596,] 0.433331375 0.1637029640 2.061445e-02
## [1597,] 0.163702964 0.4333313752 3.823512e-01
## [1598,] 0.416337988 0.3211750193 8.258786e-02
## [1599,] 0.440355309 0.2596967205 5.105149e-02
## [1600,] 0.416337988 0.3211750193 8.258786e-02
## [1601,] 0.433331375 0.1637029640 2.061445e-02
## [1602,] 0.335537578 0.4074384881 1.649156e-01
## [1603,] 0.443086838 0.2436977611 4.467792e-02
## [1604,] 0.440355309 0.2596967205 5.105149e-02
## [1605,] 0.386693968 0.3625255950 1.132892e-01
## [1606,] 0.291090430 0.4308138364 2.125348e-01
## [1607,] 0.148232688 0.4261689772 4.084119e-01
## [1608,] 0.360146521 0.0776786613 5.584740e-03
## [1609,] 0.440355309 0.2596967205 5.105149e-02
## [1610,] 0.243697761 0.4430868383 2.685375e-01
## [1611,] 0.426168977 0.1482326877 1.718640e-02
## [1612,] 0.430813836 0.2910904300 6.556091e-02
## [1613,] 0.407438488 0.3355375785 9.210835e-02
## [1614,] 0.397531973 0.3493462791 1.023338e-01
## [1615,] 0.416337988 0.3211750193 8.258786e-02
## [1616,] 0.426168977 0.1482326877 1.718640e-02
## [1617,] 0.406028666 0.1184250277 1.151354e-02
## [1618,] 0.291090430 0.4308138364 2.125348e-01
## [1619,] 0.169380014 0.0116813803 2.685375e-04
## [1620,] 0.426168977 0.1482326877 1.718640e-02
## [1621,] 0.386693968 0.3625255950 1.132892e-01
## [1622,] 0.375000000 0.3750000000 1.250000e-01
## [1623,] 0.397531973 0.3493462791 1.023338e-01
## [1624,] 0.433331375 0.1637029640 2.061445e-02
## [1625,] 0.362525595 0.3866939680 1.374912e-01
## [1626,] 0.291090430 0.4308138364 2.125348e-01
## [1627,] 0.416337988 0.3211750193 8.258786e-02
## [1628,] 0.443086838 0.2436977611 4.467792e-02
## [1629,] 0.397531973 0.3493462791 1.023338e-01
## [1630,] 0.436239133 0.2755194522 5.800410e-02
## [1631,] 0.386693968 0.3625255950 1.132892e-01
## [1632,] 0.375000000 0.3750000000 1.250000e-01
## [1633,] 0.349346279 0.3975319727 1.507880e-01
## [1634,] 0.243697761 0.4430868383 2.685375e-01
## [1635,] 0.406028666 0.1184250277 1.151354e-02
## [1636,] 0.291090430 0.4308138364 2.125348e-01
## [1637,] 0.266544426 0.0339238361 1.439193e-03
## [1638,] 0.033923836 0.2665444262 6.980925e-01
## [1639,] 0.000000000 0.0000000000 0.000000e+00
## [1640,] 0.335537578 0.4074384881 1.649156e-01
## [1641,] 0.349346279 0.3975319727 1.507880e-01
## [1642,] 0.424154946 0.3063341278 7.374710e-02
## [1643,] 0.360146521 0.0776786613 5.584740e-03
## [1644,] 0.386693968 0.3625255950 1.132892e-01
## [1645,] 0.179450170 0.4386559699 3.574234e-01
## [1646,] 0.236850055 0.0253767916 9.063140e-04
## [1647,] 0.386693968 0.3625255950 1.132892e-01
## [1648,] 0.306334128 0.4241549461 1.957638e-01
## [1649,] 0.386693968 0.3625255950 1.132892e-01
## [1650,] 0.033923836 0.2665444262 6.980925e-01
## [1651,] 0.377630828 0.0906313987 7.250512e-03
## [1652,] 0.386693968 0.3625255950 1.132892e-01
## [1653,] 0.360146521 0.0776786613 5.584740e-03
## [1654,] 0.443086838 0.2436977611 4.467792e-02
## [1655,] 0.335537578 0.4074384881 1.649156e-01
## [1656,] 0.407438488 0.3355375785 9.210835e-02
## [1657,] 0.424154946 0.3063341278 7.374710e-02
## [1658,] 0.443086838 0.2436977611 4.467792e-02
## [1659,] 0.392899701 0.1042386963 9.218388e-03
## [1660,] 0.046838810 0.0007678494 4.195898e-06
## [1661,] 0.430813836 0.2910904300 6.556091e-02
## [1662,] 0.275519452 0.4362391326 2.302373e-01
## [1663,] 0.291090430 0.4308138364 2.125348e-01
## [1664,] 0.436239133 0.2755194522 5.800410e-02
## [1665,] 0.318229499 0.0540389715 3.058810e-03
## [1666,] 0.426168977 0.1482326877 1.718640e-02
## [1667,] 0.397531973 0.3493462791 1.023338e-01
## [1668,] 0.417093250 0.1331148669 1.416116e-02
## [1669,] 0.433331375 0.1637029640 2.061445e-02
## [1670,] 0.443086838 0.2436977611 4.467792e-02
## [1671,] 0.397531973 0.3493462791 1.023338e-01
## [1672,] 0.416337988 0.3211750193 8.258786e-02
## [1673,] 0.306334128 0.4241549461 1.957638e-01
## [1674,] 0.440355309 0.2596967205 5.105149e-02
## [1675,] 0.407438488 0.3355375785 9.210835e-02
## [1676,] 0.424154946 0.3063341278 7.374710e-02
## [1677,] 0.424154946 0.3063341278 7.374710e-02
## [1678,] 0.407438488 0.3355375785 9.210835e-02
## [1679,] 0.444093854 0.2114732637 3.356718e-02
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## [1688,] 0.275519452 0.4362391326 2.302373e-01
## [1689,] 0.375000000 0.3750000000 1.250000e-01
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## [1691,] 0.386693968 0.3625255950 1.132892e-01
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## [1693,] 0.406028666 0.1184250277 1.151354e-02
## [1694,] 0.377630828 0.0906313987 7.250512e-03
## [1695,] 0.417093250 0.1331148669 1.416116e-02
## [1696,] 0.275519452 0.4362391326 2.302373e-01
## [1697,] 0.407438488 0.3355375785 9.210835e-02
## [1698,] 0.375000000 0.3750000000 1.250000e-01
## [1699,] 0.442218287 0.1953987782 2.877966e-02
## [1700,] 0.321175019 0.4163379880 1.798991e-01
## [1701,] 0.275519452 0.4362391326 2.302373e-01
## [1702,] 0.275519452 0.4362391326 2.302373e-01
## [1703,] 0.386693968 0.3625255950 1.132892e-01
## [1704,] 0.397531973 0.3493462791 1.023338e-01
## [1705,] 0.335537578 0.4074384881 1.649156e-01
## [1706,] 0.443086838 0.2436977611 4.467792e-02
## [1707,] 0.433331375 0.1637029640 2.061445e-02
## [1708,] 0.443086838 0.2436977611 4.467792e-02
## [1709,] 0.169380014 0.0116813803 2.685375e-04
## [1710,] 0.386693968 0.3625255950 1.132892e-01
## [1711,] 0.443086838 0.2436977611 4.467792e-02
## [1712,] 0.416337988 0.3211750193 8.258786e-02
## [1713,] 0.377630828 0.0906313987 7.250512e-03
## [1714,] 0.407438488 0.3355375785 9.210835e-02
## [1715,] 0.406028666 0.1184250277 1.151354e-02
## [1716,] 0.321175019 0.4163379880 1.798991e-01
## [1717,] 0.406028666 0.1184250277 1.151354e-02
## [1718,] 0.444358195 0.2275981001 3.885821e-02
## [1719,] 0.349346279 0.3975319727 1.507880e-01
## [1720,] 0.443086838 0.2436977611 4.467792e-02
## [1721,] 0.118425028 0.4060286664 4.640328e-01
## [1722,] 0.443086838 0.2436977611 4.467792e-02
## [1723,] 0.335537578 0.4074384881 1.649156e-01
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## [1725,] 0.416337988 0.3211750193 8.258786e-02
## [1726,] 0.442218287 0.1953987782 2.877966e-02
## [1727,] 0.375000000 0.3750000000 1.250000e-01
## [1728,] 0.321175019 0.4163379880 1.798991e-01
## [1729,] 0.118425028 0.4060286664 4.640328e-01
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## [1731,] 0.306334128 0.4241549461 1.957638e-01
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## [1733,] 0.179450170 0.4386559699 3.574234e-01
## [1734,] 0.163702964 0.4333313752 3.823512e-01
## [1735,] 0.293645732 0.0435030714 2.148300e-03
## [1736,] 0.416337988 0.3211750193 8.258786e-02
## [1737,] 0.204487093 0.0179374643 5.244873e-04
## [1738,] 0.392899701 0.1042386963 9.218388e-03
## [1739,] 0.430813836 0.2910904300 6.556091e-02
## [1740,] 0.386693968 0.3625255950 1.132892e-01
## [1741,] 0.291090430 0.4308138364 2.125348e-01
## [1742,] 0.386693968 0.3625255950 1.132892e-01
## [1743,] 0.163702964 0.4333313752 3.823512e-01
## [1744,] 0.259696720 0.4403553087 2.488965e-01
## [1745,] 0.077678661 0.3601465208 5.565901e-01
## [1746,] 0.392899701 0.1042386963 9.218388e-03
## [1747,] 0.444093854 0.2114732637 3.356718e-02
## [1748,] 0.424154946 0.3063341278 7.374710e-02
## [1749,] 0.392899701 0.1042386963 9.218388e-03
## [1750,] 0.375000000 0.3750000000 1.250000e-01
## [1751,] 0.293645732 0.0435030714 2.148300e-03
## [1752,] 0.377630828 0.0906313987 7.250512e-03
## [1753,] 0.443086838 0.2436977611 4.467792e-02
## [1754,] 0.424154946 0.3063341278 7.374710e-02
## [1755,] 0.133114867 0.4170932496 4.356307e-01
## [1756,] 0.306334128 0.4241549461 1.957638e-01
## [1757,] 0.275519452 0.4362391326 2.302373e-01
## [1758,] 0.442218287 0.1953987782 2.877966e-02
## [1759,] 0.407438488 0.3355375785 9.210835e-02
## [1760,] 0.442218287 0.1953987782 2.877966e-02
## [1761,] 0.243697761 0.4430868383 2.685375e-01
## [1762,] 0.349346279 0.3975319727 1.507880e-01
## [1763,] 0.436239133 0.2755194522 5.800410e-02
## [1764,] 0.407438488 0.3355375785 9.210835e-02
## [1765,] 0.430813836 0.2910904300 6.556091e-02
## [1766,] 0.397531973 0.3493462791 1.023338e-01
## [1767,] 0.424154946 0.3063341278 7.374710e-02
## [1768,] 0.438655970 0.1794501695 2.447048e-02
## [1769,] 0.360146521 0.0776786613 5.584740e-03
## [1770,] 0.090631399 0.0030210466 3.356718e-05
## [1771,] 0.406028666 0.1184250277 1.151354e-02
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## [1777,] 0.442218287 0.1953987782 2.877966e-02
## [1778,] 0.377630828 0.0906313987 7.250512e-03
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## [1780,] 0.424154946 0.3063341278 7.374710e-02
## [1781,] 0.386693968 0.3625255950 1.132892e-01
## [1782,] 0.321175019 0.4163379880 1.798991e-01
## [1783,] 0.436239133 0.2755194522 5.800410e-02
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## [1788,] 0.259696720 0.4403553087 2.488965e-01
## [1789,] 0.362525595 0.3866939680 1.374912e-01
## [1790,] 0.204487093 0.0179374643 5.244873e-04
## [1791,] 0.195398778 0.4422182874 3.336033e-01
## [1792,] 0.065456010 0.3403712531 5.899768e-01
## [1793,] 0.227598100 0.4443581954 2.891855e-01
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## [1799,] 0.349346279 0.3975319727 1.507880e-01
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## [1802,] 0.306334128 0.4241549461 1.957638e-01
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## [1806,] 0.436239133 0.2755194522 5.800410e-02
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## [1809,] 0.440355309 0.2596967205 5.105149e-02
## [1810,] 0.169380014 0.0116813803 2.685375e-04
## [1811,] 0.444358195 0.2275981001 3.885821e-02
## [1812,] 0.375000000 0.3750000000 1.250000e-01
## [1813,] 0.436239133 0.2755194522 5.800410e-02
## [1814,] 0.291090430 0.4308138364 2.125348e-01
## [1815,] 0.397531973 0.3493462791 1.023338e-01
## [1816,] 0.377630828 0.0906313987 7.250512e-03
## [1817,] 0.275519452 0.4362391326 2.302373e-01
## [1818,] 0.430813836 0.2910904300 6.556091e-02
## [1819,] 0.433331375 0.1637029640 2.061445e-02
## [1820,] 0.243697761 0.4430868383 2.685375e-01
## [1821,] 0.077678661 0.3601465208 5.565901e-01
## [1822,] 0.090631399 0.3776308281 5.244873e-01
## [1823,] 0.335537578 0.4074384881 1.649156e-01
## [1824,] 0.118425028 0.4060286664 4.640328e-01
## [1825,] 0.377630828 0.0906313987 7.250512e-03
## [1826,] 0.430813836 0.2910904300 6.556091e-02
## [1827,] 0.306334128 0.4241549461 1.957638e-01
## [1828,] 0.442218287 0.1953987782 2.877966e-02
## [1829,] 0.407438488 0.3355375785 9.210835e-02
## [1830,] 0.321175019 0.4163379880 1.798991e-01
## [1831,] 0.392899701 0.1042386963 9.218388e-03
## [1832,] 0.000000000 0.0000000000 0.000000e+00
## [1833,] 0.375000000 0.3750000000 1.250000e-01
## [1834,] 0.443086838 0.2436977611 4.467792e-02
## [1835,] 0.433331375 0.1637029640 2.061445e-02
## [1836,] 0.407438488 0.3355375785 9.210835e-02
## [1837,] 0.443086838 0.2436977611 4.467792e-02
## [1838,] 0.444358195 0.2275981001 3.885821e-02
## [1839,] 0.436239133 0.2755194522 5.800410e-02
## [1840,] 0.442218287 0.1953987782 2.877966e-02
## [1841,] 0.243697761 0.4430868383 2.685375e-01
## [1842,] 0.443086838 0.2436977611 4.467792e-02
## [1843,] 0.318229499 0.0540389715 3.058810e-03
## [1844,] 0.392899701 0.1042386963 9.218388e-03
## [1845,] 0.424154946 0.3063341278 7.374710e-02
## [1846,] 0.444093854 0.2114732637 3.356718e-02
## [1847,] 0.426168977 0.1482326877 1.718640e-02
## [1848,] 0.440355309 0.2596967205 5.105149e-02
## [1849,] 0.090631399 0.0030210466 3.356718e-05
## [1850,] 0.444093854 0.2114732637 3.356718e-02
## [1851,] 0.430813836 0.2910904300 6.556091e-02
## [1852,] 0.362525595 0.3866939680 1.374912e-01
## [1853,] 0.291090430 0.4308138364 2.125348e-01
## [1854,] 0.236850055 0.0253767916 9.063140e-04
## [1855,] 0.440355309 0.2596967205 5.105149e-02
## [1856,] 0.442218287 0.1953987782 2.877966e-02
## [1857,] 0.436239133 0.2755194522 5.800410e-02
## [1858,] 0.266544426 0.0339238361 1.439193e-03
## [1859,] 0.416337988 0.3211750193 8.258786e-02
## [1860,] 0.443086838 0.2436977611 4.467792e-02
## [1861,] 0.430813836 0.2910904300 6.556091e-02
## [1862,] 0.362525595 0.3866939680 1.374912e-01
## [1863,] 0.436239133 0.2755194522 5.800410e-02
## [1864,] 0.046838810 0.0007678494 4.195898e-06
## [1865,] 0.424154946 0.3063341278 7.374710e-02
## [1866,] 0.293645732 0.0435030714 2.148300e-03
## [1867,] 0.306334128 0.4241549461 1.957638e-01
## [1868,] 0.406028666 0.1184250277 1.151354e-02
## [1869,] 0.375000000 0.3750000000 1.250000e-01
## [1870,] 0.433331375 0.1637029640 2.061445e-02
## [1871,] 0.426168977 0.1482326877 1.718640e-02
## [1872,] 0.204487093 0.0179374643 5.244873e-04
## [1873,] 0.211473264 0.4440938538 3.108657e-01
## [1874,] 0.397531973 0.3493462791 1.023338e-01
## [1875,] 0.386693968 0.3625255950 1.132892e-01
## [1876,] 0.433331375 0.1637029640 2.061445e-02
## [1877,] 0.291090430 0.4308138364 2.125348e-01
## [1878,] 0.433331375 0.1637029640 2.061445e-02
## [1879,] 0.442218287 0.1953987782 2.877966e-02
## [1880,] 0.318229499 0.0540389715 3.058810e-03
## [1881,] 0.148232688 0.4261689772 4.084119e-01
## [1882,] 0.293645732 0.0435030714 2.148300e-03
## [1883,] 0.440355309 0.2596967205 5.105149e-02
## [1884,] 0.169380014 0.0116813803 2.685375e-04
## [1885,] 0.407438488 0.3355375785 9.210835e-02
## [1886,] 0.204487093 0.0179374643 5.244873e-04
## [1887,] 0.424154946 0.3063341278 7.374710e-02
## [1888,] 0.090631399 0.0030210466 3.356718e-05
## [1889,] 0.430813836 0.2910904300 6.556091e-02
## [1890,] 0.407438488 0.3355375785 9.210835e-02
## [1891,] 0.417093250 0.1331148669 1.416116e-02
## [1892,] 0.179450170 0.4386559699 3.574234e-01
## [1893,] 0.444093854 0.2114732637 3.356718e-02
## [1894,] 0.407438488 0.3355375785 9.210835e-02
## [1895,] 0.163702964 0.4333313752 3.823512e-01
## [1896,] 0.243697761 0.4430868383 2.685375e-01
## [1897,] 0.204487093 0.0179374643 5.244873e-04
## [1898,] 0.362525595 0.3866939680 1.374912e-01
## [1899,] 0.433331375 0.1637029640 2.061445e-02
## [1900,] 0.444093854 0.2114732637 3.356718e-02
## [1901,] 0.438655970 0.1794501695 2.447048e-02
## [1902,] 0.406028666 0.1184250277 1.151354e-02
## [1903,] 0.440355309 0.2596967205 5.105149e-02
## [1904,] 0.293645732 0.0435030714 2.148300e-03
## [1905,] 0.293645732 0.0435030714 2.148300e-03
## [1906,] 0.266544426 0.0339238361 1.439193e-03
## [1907,] 0.243697761 0.4430868383 2.685375e-01
## [1908,] 0.259696720 0.4403553087 2.488965e-01
## [1909,] 0.377630828 0.0906313987 7.250512e-03
## [1910,] 0.424154946 0.3063341278 7.374710e-02
## [1911,] 0.360146521 0.0776786613 5.584740e-03
## [1912,] 0.349346279 0.3975319727 1.507880e-01
## [1913,] 0.442218287 0.1953987782 2.877966e-02
## [1914,] 0.104238696 0.3928997013 4.936432e-01
## [1915,] 0.426168977 0.1482326877 1.718640e-02
## [1916,] 0.362525595 0.3866939680 1.374912e-01
## [1917,] 0.444093854 0.2114732637 3.356718e-02
## [1918,] 0.291090430 0.4308138364 2.125348e-01
## [1919,] 0.444358195 0.2275981001 3.885821e-02
## [1920,] 0.306334128 0.4241549461 1.957638e-01
## [1921,] 0.375000000 0.3750000000 1.250000e-01
## [1922,] 0.444358195 0.2275981001 3.885821e-02
## [1923,] 0.406028666 0.1184250277 1.151354e-02
## [1924,] 0.397531973 0.3493462791 1.023338e-01
## [1925,] 0.443086838 0.2436977611 4.467792e-02
## [1926,] 0.349346279 0.3975319727 1.507880e-01
## [1927,] 0.340371253 0.0654560102 4.195898e-03
## [1928,] 0.291090430 0.4308138364 2.125348e-01
## [1929,] 0.424154946 0.3063341278 7.374710e-02
## [1930,] 0.377630828 0.0906313987 7.250512e-03
## [1931,] 0.443086838 0.2436977611 4.467792e-02
## [1932,] 0.375000000 0.3750000000 1.250000e-01
## [1933,] 0.430813836 0.2910904300 6.556091e-02
## [1934,] 0.424154946 0.3063341278 7.374710e-02
## [1935,] 0.406028666 0.1184250277 1.151354e-02
## [1936,] 0.426168977 0.1482326877 1.718640e-02
## [1937,] 0.438655970 0.1794501695 2.447048e-02
## [1938,] 0.349346279 0.3975319727 1.507880e-01
## [1939,] 0.211473264 0.4440938538 3.108657e-01
## [1940,] 0.438655970 0.1794501695 2.447048e-02
## [1941,] 0.440355309 0.2596967205 5.105149e-02
## [1942,] 0.275519452 0.4362391326 2.302373e-01
## [1943,] 0.424154946 0.3063341278 7.374710e-02
## [1944,] 0.416337988 0.3211750193 8.258786e-02
## [1945,] 0.266544426 0.0339238361 1.439193e-03
## [1946,] 0.335537578 0.4074384881 1.649156e-01
## [1947,] 0.377630828 0.0906313987 7.250512e-03
## [1948,] 0.360146521 0.0776786613 5.584740e-03
## [1949,] 0.204487093 0.0179374643 5.244873e-04
## [1950,] 0.386693968 0.3625255950 1.132892e-01
## [1951,] 0.424154946 0.3063341278 7.374710e-02
## [1952,] 0.349346279 0.3975319727 1.507880e-01
## [1953,] 0.438655970 0.1794501695 2.447048e-02
## [1954,] 0.204487093 0.0179374643 5.244873e-04
## [1955,] 0.349346279 0.3975319727 1.507880e-01
## [1956,] 0.397531973 0.3493462791 1.023338e-01
## [1957,] 0.426168977 0.1482326877 1.718640e-02
## [1958,] 0.426168977 0.1482326877 1.718640e-02
## [1959,] 0.430813836 0.2910904300 6.556091e-02
## [1960,] 0.430813836 0.2910904300 6.556091e-02
## [1961,] 0.227598100 0.4443581954 2.891855e-01
## [1962,] 0.321175019 0.4163379880 1.798991e-01
## [1963,] 0.090631399 0.0030210466 3.356718e-05
## [1964,] 0.443086838 0.2436977611 4.467792e-02
## [1965,] 0.386693968 0.3625255950 1.132892e-01
## [1966,] 0.430813836 0.2910904300 6.556091e-02
## [1967,] 0.275519452 0.4362391326 2.302373e-01
## [1968,] 0.291090430 0.4308138364 2.125348e-01
## [1969,] 0.444093854 0.2114732637 3.356718e-02
## [1970,] 0.335537578 0.4074384881 1.649156e-01
## [1971,] 0.443086838 0.2436977611 4.467792e-02
## [1972,] 0.360146521 0.0776786613 5.584740e-03
## [1973,] 0.444358195 0.2275981001 3.885821e-02
## [1974,] 0.362525595 0.3866939680 1.374912e-01
## [1975,] 0.362525595 0.3866939680 1.374912e-01
## [1976,] 0.259696720 0.4403553087 2.488965e-01
## [1977,] 0.377630828 0.0906313987 7.250512e-03
## [1978,] 0.275519452 0.4362391326 2.302373e-01
## [1979,] 0.104238696 0.3928997013 4.936432e-01
## [1980,] 0.349346279 0.3975319727 1.507880e-01
## [1981,] 0.416337988 0.3211750193 8.258786e-02
## [1982,] 0.306334128 0.4241549461 1.957638e-01
## [1983,] 0.204487093 0.0179374643 5.244873e-04
## [1984,] 0.025376792 0.2368500554 7.368668e-01
## [1985,] 0.442218287 0.1953987782 2.877966e-02
## [1986,] 0.291090430 0.4308138364 2.125348e-01
## [1987,] 0.266544426 0.0339238361 1.439193e-03
## [1988,] 0.118425028 0.4060286664 4.640328e-01
## [1989,] 0.163702964 0.4333313752 3.823512e-01
## [1990,] 0.424154946 0.3063341278 7.374710e-02
## [1991,] 0.406028666 0.1184250277 1.151354e-02
## [1992,] 0.430813836 0.2910904300 6.556091e-02
## [1993,] 0.442218287 0.1953987782 2.877966e-02
## [1994,] 0.293645732 0.0435030714 2.148300e-03
## [1995,] 0.444358195 0.2275981001 3.885821e-02
## [1996,] 0.416337988 0.3211750193 8.258786e-02
## [1997,] 0.443086838 0.2436977611 4.467792e-02
## [1998,] 0.349346279 0.3975319727 1.507880e-01
## [1999,] 0.430813836 0.2910904300 6.556091e-02
## [2000,] 0.335537578 0.4074384881 1.649156e-01
## [2001,] 0.362525595 0.3866939680 1.374912e-01
## [2002,] 0.306334128 0.4241549461 1.957638e-01
## [2003,] 0.340371253 0.0654560102 4.195898e-03
## [2004,] 0.340371253 0.0654560102 4.195898e-03
## [2005,] 0.293645732 0.0435030714 2.148300e-03
## [2006,] 0.416337988 0.3211750193 8.258786e-02
## [2007,] 0.033923836 0.2665444262 6.980925e-01
## [2008,] 0.392899701 0.1042386963 9.218388e-03
## [2009,] 0.443086838 0.2436977611 4.467792e-02
## [2010,] 0.444093854 0.2114732637 3.356718e-02
## [2011,] 0.436239133 0.2755194522 5.800410e-02
## [2012,] 0.362525595 0.3866939680 1.374912e-01
## [2013,] 0.349346279 0.3975319727 1.507880e-01
## [2014,] 0.443086838 0.2436977611 4.467792e-02
## [2015,] 0.266544426 0.0339238361 1.439193e-03
## [2016,] 0.397531973 0.3493462791 1.023338e-01
## [2017,] 0.104238696 0.3928997013 4.936432e-01
## [2018,] 0.424154946 0.3063341278 7.374710e-02
## [2019,] 0.417093250 0.1331148669 1.416116e-02
## [2020,] 0.360146521 0.0776786613 5.584740e-03
## [2021,] 0.318229499 0.0540389715 3.058810e-03
## [2022,] 0.443086838 0.2436977611 4.467792e-02
## [2023,] 0.438655970 0.1794501695 2.447048e-02
## [2024,] 0.386693968 0.3625255950 1.132892e-01
## [2025,] 0.321175019 0.4163379880 1.798991e-01
## [2026,] 0.444093854 0.2114732637 3.356718e-02
## [2027,] 0.065456010 0.3403712531 5.899768e-01
## [2028,] 0.236850055 0.0253767916 9.063140e-04
## [2029,] 0.169380014 0.0116813803 2.685375e-04
## [2030,] 0.360146521 0.0776786613 5.584740e-03
## [2031,] 0.444093854 0.2114732637 3.356718e-02
## [2032,] 0.054038972 0.3182294988 6.246727e-01
## [2033,] 0.406028666 0.1184250277 1.151354e-02
## [2034,] 0.406028666 0.1184250277 1.151354e-02
## [2035,] 0.417093250 0.1331148669 1.416116e-02
## [2036,] 0.438655970 0.1794501695 2.447048e-02
## [2037,] 0.407438488 0.3355375785 9.210835e-02
## [2038,] 0.227598100 0.4443581954 2.891855e-01
## [2039,] 0.377630828 0.0906313987 7.250512e-03
## [2040,] 0.306334128 0.4241549461 1.957638e-01
## [2041,] 0.392899701 0.1042386963 9.218388e-03
## [2042,] 0.426168977 0.1482326877 1.718640e-02
## [2043,] 0.397531973 0.3493462791 1.023338e-01
## [2044,] 0.360146521 0.0776786613 5.584740e-03
## [2045,] 0.243697761 0.4430868383 2.685375e-01
## [2046,] 0.440355309 0.2596967205 5.105149e-02
## [2047,] 0.275519452 0.4362391326 2.302373e-01
## [2048,] 0.335537578 0.4074384881 1.649156e-01
## [2049,] 0.321175019 0.4163379880 1.798991e-01
## [2050,] 0.442218287 0.1953987782 2.877966e-02
## [2051,] 0.433331375 0.1637029640 2.061445e-02
## [2052,] 0.443086838 0.2436977611 4.467792e-02
## [2053,] 0.306334128 0.4241549461 1.957638e-01
## [2054,] 0.442218287 0.1953987782 2.877966e-02
## [2055,] 0.444358195 0.2275981001 3.885821e-02
## [2056,] 0.397531973 0.3493462791 1.023338e-01
## [2057,] 0.349346279 0.3975319727 1.507880e-01
## [2058,] 0.397531973 0.3493462791 1.023338e-01
## [2059,] 0.340371253 0.0654560102 4.195898e-03
## [2060,] 0.133114867 0.4170932496 4.356307e-01
## [2061,] 0.436239133 0.2755194522 5.800410e-02
## [2062,] 0.243697761 0.4430868383 2.685375e-01
## [2063,] 0.375000000 0.3750000000 1.250000e-01
## [2064,] 0.424154946 0.3063341278 7.374710e-02
## [2065,] 0.386693968 0.3625255950 1.132892e-01
## [2066,] 0.436239133 0.2755194522 5.800410e-02
## [2067,] 0.377630828 0.0906313987 7.250512e-03
## [2068,] 0.392899701 0.1042386963 9.218388e-03
## [2069,] 0.360146521 0.0776786613 5.584740e-03
## [2070,] 0.442218287 0.1953987782 2.877966e-02
## [2071,] 0.275519452 0.4362391326 2.302373e-01
## [2072,] 0.424154946 0.3063341278 7.374710e-02
## [2073,] 0.266544426 0.0339238361 1.439193e-03
## [2074,] 0.392899701 0.1042386963 9.218388e-03
## [2075,] 0.349346279 0.3975319727 1.507880e-01
## [2076,] 0.266544426 0.0339238361 1.439193e-03
## [2077,] 0.362525595 0.3866939680 1.374912e-01
## [2078,] 0.377630828 0.0906313987 7.250512e-03
## [2079,] 0.443086838 0.2436977611 4.467792e-02
## [2080,] 0.426168977 0.1482326877 1.718640e-02
## [2081,] 0.436239133 0.2755194522 5.800410e-02
## [2082,] 0.377630828 0.0906313987 7.250512e-03
## [2083,] 0.293645732 0.0435030714 2.148300e-03
## [2084,] 0.360146521 0.0776786613 5.584740e-03
## [2085,] 0.306334128 0.4241549461 1.957638e-01
## [2086,] 0.349346279 0.3975319727 1.507880e-01
## [2087,] 0.375000000 0.3750000000 1.250000e-01
## [2088,] 0.321175019 0.4163379880 1.798991e-01
## [2089,] 0.443086838 0.2436977611 4.467792e-02
## [2090,] 0.335537578 0.4074384881 1.649156e-01
## [2091,] 0.275519452 0.4362391326 2.302373e-01
## [2092,] 0.377630828 0.0906313987 7.250512e-03
## [2093,] 0.349346279 0.3975319727 1.507880e-01
## [2094,] 0.406028666 0.1184250277 1.151354e-02
## [2095,] 0.362525595 0.3866939680 1.374912e-01
## [2096,] 0.293645732 0.0435030714 2.148300e-03
## [2097,] 0.392899701 0.1042386963 9.218388e-03
## [2098,] 0.392899701 0.1042386963 9.218388e-03
## [2099,] 0.424154946 0.3063341278 7.374710e-02
## [2100,] 0.377630828 0.0906313987 7.250512e-03
## [2101,] 0.318229499 0.0540389715 3.058810e-03
## [2102,] 0.291090430 0.4308138364 2.125348e-01
## attr(,"degree")
## [1] 3
## attr(,"knots")
## numeric(0)
## attr(,"Boundary.knots")
## [1] 18 80
## attr(,"intercept")
## [1] FALSE
## attr(,"class")
## [1] "bs" "basis" "matrix"lm1<- lm(wage ~ bsBasis, data=training)
plot(training$age, training$wage, pch=19, cex=0.5)
points(training$age, predict(lm1, newdata=training), col="red", pch=19, cex=0.5)
predict(bsBasis, age=testing$age)## 1 2 3
## [1,] 0.236850055 0.0253767916 9.063140e-04
## [2,] 0.416337988 0.3211750193 8.258786e-02
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## [12,] 0.444093854 0.2114732637 3.356718e-02
## [13,] 0.443086838 0.2436977611 4.467792e-02
## [14,] 0.375000000 0.3750000000 1.250000e-01
## [15,] 0.430813836 0.2910904300 6.556091e-02
## [16,] 0.426168977 0.1482326877 1.718640e-02
## [17,] 0.000000000 0.0000000000 0.000000e+00
## [18,] 0.291090430 0.4308138364 2.125348e-01
## [19,] 0.349346279 0.3975319727 1.507880e-01
## [20,] 0.417093250 0.1331148669 1.416116e-02
## [21,] 0.426168977 0.1482326877 1.718640e-02
## [22,] 0.438655970 0.1794501695 2.447048e-02
## [23,] 0.275519452 0.4362391326 2.302373e-01
## [24,] 0.266544426 0.0339238361 1.439193e-03
## [25,] 0.406028666 0.1184250277 1.151354e-02
## [26,] 0.318229499 0.0540389715 3.058810e-03
## [27,] 0.340371253 0.0654560102 4.195898e-03
## [28,] 0.318229499 0.0540389715 3.058810e-03
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## [30,] 0.362525595 0.3866939680 1.374912e-01
## [31,] 0.444358195 0.2275981001 3.885821e-02
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## [34,] 0.430813836 0.2910904300 6.556091e-02
## [35,] 0.204487093 0.0179374643 5.244873e-04
## [36,] 0.377630828 0.0906313987 7.250512e-03
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## [39,] 0.077678661 0.3601465208 5.565901e-01
## [40,] 0.386693968 0.3625255950 1.132892e-01
## [41,] 0.375000000 0.3750000000 1.250000e-01
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## [43,] 0.442218287 0.1953987782 2.877966e-02
## [44,] 0.131453291 0.0066840657 1.132892e-04
## [45,] 0.243697761 0.4430868383 2.685375e-01
## [46,] 0.266544426 0.0339238361 1.439193e-03
## [47,] 0.443086838 0.2436977611 4.467792e-02
## [48,] 0.424154946 0.3063341278 7.374710e-02
## [49,] 0.424154946 0.3063341278 7.374710e-02
## [50,] 0.195398778 0.4422182874 3.336033e-01
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## [52,] 0.436239133 0.2755194522 5.800410e-02
## [53,] 0.266544426 0.0339238361 1.439193e-03
## [54,] 0.321175019 0.4163379880 1.798991e-01
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## [56,] 0.407438488 0.3355375785 9.210835e-02
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## [58,] 0.169380014 0.0116813803 2.685375e-04
## [59,] 0.416337988 0.3211750193 8.258786e-02
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## [61,] 0.306334128 0.4241549461 1.957638e-01
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## [63,] 0.362525595 0.3866939680 1.374912e-01
## [64,] 0.407438488 0.3355375785 9.210835e-02
## [65,] 0.440355309 0.2596967205 5.105149e-02
## [66,] 0.444093854 0.2114732637 3.356718e-02
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## [74,] 0.375000000 0.3750000000 1.250000e-01
## [75,] 0.436239133 0.2755194522 5.800410e-02
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## [77,] 0.227598100 0.4443581954 2.891855e-01
## [78,] 0.259696720 0.4403553087 2.488965e-01
## [79,] 0.266544426 0.0339238361 1.439193e-03
## [80,] 0.375000000 0.3750000000 1.250000e-01
## [81,] 0.444093854 0.2114732637 3.356718e-02
## [82,] 0.195398778 0.4422182874 3.336033e-01
## [83,] 0.335537578 0.4074384881 1.649156e-01
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## [86,] 0.131453291 0.0066840657 1.132892e-04
## [87,] 0.195398778 0.4422182874 3.336033e-01
## [88,] 0.406028666 0.1184250277 1.151354e-02
## [89,] 0.243697761 0.4430868383 2.685375e-01
## [90,] 0.406028666 0.1184250277 1.151354e-02
## [91,] 0.169380014 0.0116813803 2.685375e-04
## [92,] 0.349346279 0.3975319727 1.507880e-01
## [93,] 0.424154946 0.3063341278 7.374710e-02
## [94,] 0.211473264 0.4440938538 3.108657e-01
## [95,] 0.443086838 0.2436977611 4.467792e-02
## [96,] 0.433331375 0.1637029640 2.061445e-02
## [97,] 0.433331375 0.1637029640 2.061445e-02
## [98,] 0.211473264 0.4440938538 3.108657e-01
## [99,] 0.444093854 0.2114732637 3.356718e-02
## [100,] 0.321175019 0.4163379880 1.798991e-01
## [101,] 0.259696720 0.4403553087 2.488965e-01
## [102,] 0.148232688 0.4261689772 4.084119e-01
## [103,] 0.433331375 0.1637029640 2.061445e-02
## [104,] 0.306334128 0.4241549461 1.957638e-01
## [105,] 0.416337988 0.3211750193 8.258786e-02
## [106,] 0.243697761 0.4430868383 2.685375e-01
## [107,] 0.386693968 0.3625255950 1.132892e-01
## [108,] 0.407438488 0.3355375785 9.210835e-02
## [109,] 0.407438488 0.3355375785 9.210835e-02
## [110,] 0.291090430 0.4308138364 2.125348e-01
## [111,] 0.349346279 0.3975319727 1.507880e-01
## [112,] 0.375000000 0.3750000000 1.250000e-01
## [113,] 0.426168977 0.1482326877 1.718640e-02
## [114,] 0.321175019 0.4163379880 1.798991e-01
## [115,] 0.443086838 0.2436977611 4.467792e-02
## [116,] 0.362525595 0.3866939680 1.374912e-01
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## [121,] 0.397531973 0.3493462791 1.023338e-01
## [122,] 0.444358195 0.2275981001 3.885821e-02
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## [128,] 0.243697761 0.4430868383 2.685375e-01
## [129,] 0.377630828 0.0906313987 7.250512e-03
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## [133,] 0.433331375 0.1637029640 2.061445e-02
## [134,] 0.360146521 0.0776786613 5.584740e-03
## [135,] 0.266544426 0.0339238361 1.439193e-03
## [136,] 0.443086838 0.2436977611 4.467792e-02
## [137,] 0.318229499 0.0540389715 3.058810e-03
## [138,] 0.375000000 0.3750000000 1.250000e-01
## [139,] 0.169380014 0.0116813803 2.685375e-04
## [140,] 0.375000000 0.3750000000 1.250000e-01
## [141,] 0.266544426 0.0339238361 1.439193e-03
## [142,] 0.360146521 0.0776786613 5.584740e-03
## [143,] 0.442218287 0.1953987782 2.877966e-02
## [144,] 0.433331375 0.1637029640 2.061445e-02
## [145,] 0.243697761 0.4430868383 2.685375e-01
## [146,] 0.444358195 0.2275981001 3.885821e-02
## [147,] 0.440355309 0.2596967205 5.105149e-02
## [148,] 0.442218287 0.1953987782 2.877966e-02
## [149,] 0.179450170 0.4386559699 3.574234e-01
## [150,] 0.318229499 0.0540389715 3.058810e-03
## [151,] 0.442218287 0.1953987782 2.877966e-02
## [152,] 0.275519452 0.4362391326 2.302373e-01
## [153,] 0.438655970 0.1794501695 2.447048e-02
## [154,] 0.204487093 0.0179374643 5.244873e-04
## [155,] 0.407438488 0.3355375785 9.210835e-02
## [156,] 0.293645732 0.0435030714 2.148300e-03
## [157,] 0.430813836 0.2910904300 6.556091e-02
## [158,] 0.438655970 0.1794501695 2.447048e-02
## [159,] 0.306334128 0.4241549461 1.957638e-01
## [160,] 0.443086838 0.2436977611 4.467792e-02
## [161,] 0.426168977 0.1482326877 1.718640e-02
## [162,] 0.430813836 0.2910904300 6.556091e-02
## [163,] 0.227598100 0.4443581954 2.891855e-01
## [164,] 0.211473264 0.4440938538 3.108657e-01
## [165,] 0.375000000 0.3750000000 1.250000e-01
## [166,] 0.416337988 0.3211750193 8.258786e-02
## [167,] 0.426168977 0.1482326877 1.718640e-02
## [168,] 0.169380014 0.0116813803 2.685375e-04
## [169,] 0.443086838 0.2436977611 4.467792e-02
## [170,] 0.440355309 0.2596967205 5.105149e-02
## [171,] 0.438655970 0.1794501695 2.447048e-02
## [172,] 0.397531973 0.3493462791 1.023338e-01
## [173,] 0.433331375 0.1637029640 2.061445e-02
## [174,] 0.443086838 0.2436977611 4.467792e-02
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## [177,] 0.360146521 0.0776786613 5.584740e-03
## [178,] 0.377630828 0.0906313987 7.250512e-03
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## [182,] 0.386693968 0.3625255950 1.132892e-01
## [183,] 0.416337988 0.3211750193 8.258786e-02
## [184,] 0.362525595 0.3866939680 1.374912e-01
## [185,] 0.243697761 0.4430868383 2.685375e-01
## [186,] 0.386693968 0.3625255950 1.132892e-01
## [187,] 0.440355309 0.2596967205 5.105149e-02
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## [192,] 0.169380014 0.0116813803 2.685375e-04
## [193,] 0.321175019 0.4163379880 1.798991e-01
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## [195,] 0.444093854 0.2114732637 3.356718e-02
## [196,] 0.266544426 0.0339238361 1.439193e-03
## [197,] 0.360146521 0.0776786613 5.584740e-03
## [198,] 0.340371253 0.0654560102 4.195898e-03
## [199,] 0.291090430 0.4308138364 2.125348e-01
## [200,] 0.275519452 0.4362391326 2.302373e-01
## [201,] 0.195398778 0.4422182874 3.336033e-01
## [202,] 0.397531973 0.3493462791 1.023338e-01
## [203,] 0.335537578 0.4074384881 1.649156e-01
## [204,] 0.417093250 0.1331148669 1.416116e-02
## [205,] 0.243697761 0.4430868383 2.685375e-01
## [206,] 0.318229499 0.0540389715 3.058810e-03
## [207,] 0.335537578 0.4074384881 1.649156e-01
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## [209,] 0.169380014 0.0116813803 2.685375e-04
## [210,] 0.266544426 0.0339238361 1.439193e-03
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## [213,] 0.335537578 0.4074384881 1.649156e-01
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## [216,] 0.443086838 0.2436977611 4.467792e-02
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## [218,] 0.440355309 0.2596967205 5.105149e-02
## [219,] 0.266544426 0.0339238361 1.439193e-03
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## [221,] 0.349346279 0.3975319727 1.507880e-01
## [222,] 0.440355309 0.2596967205 5.105149e-02
## [223,] 0.377630828 0.0906313987 7.250512e-03
## [224,] 0.291090430 0.4308138364 2.125348e-01
## [225,] 0.204487093 0.0179374643 5.244873e-04
## [226,] 0.211473264 0.4440938538 3.108657e-01
## [227,] 0.443086838 0.2436977611 4.467792e-02
## [228,] 0.000000000 0.0000000000 1.000000e+00
## [229,] 0.443086838 0.2436977611 4.467792e-02
## [230,] 0.433331375 0.1637029640 2.061445e-02
## [231,] 0.291090430 0.4308138364 2.125348e-01
## [232,] 0.236850055 0.0253767916 9.063140e-04
## [233,] 0.444358195 0.2275981001 3.885821e-02
## [234,] 0.377630828 0.0906313987 7.250512e-03
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## [236,] 0.306334128 0.4241549461 1.957638e-01
## [237,] 0.318229499 0.0540389715 3.058810e-03
## [238,] 0.426168977 0.1482326877 1.718640e-02
## [239,] 0.321175019 0.4163379880 1.798991e-01
## [240,] 0.227598100 0.4443581954 2.891855e-01
## [241,] 0.416337988 0.3211750193 8.258786e-02
## [242,] 0.430813836 0.2910904300 6.556091e-02
## [243,] 0.377630828 0.0906313987 7.250512e-03
## [244,] 0.436239133 0.2755194522 5.800410e-02
## [245,] 0.204487093 0.0179374643 5.244873e-04
## [246,] 0.243697761 0.4430868383 2.685375e-01
## [247,] 0.417093250 0.1331148669 1.416116e-02
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## [249,] 0.442218287 0.1953987782 2.877966e-02
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## [252,] 0.430813836 0.2910904300 6.556091e-02
## [253,] 0.321175019 0.4163379880 1.798991e-01
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## [258,] 0.259696720 0.4403553087 2.488965e-01
## [259,] 0.397531973 0.3493462791 1.023338e-01
## [260,] 0.444093854 0.2114732637 3.356718e-02
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## [263,] 0.430813836 0.2910904300 6.556091e-02
## [264,] 0.417093250 0.1331148669 1.416116e-02
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## [266,] 0.377630828 0.0906313987 7.250512e-03
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## [269,] 0.397531973 0.3493462791 1.023338e-01
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## [272,] 0.318229499 0.0540389715 3.058810e-03
## [273,] 0.417093250 0.1331148669 1.416116e-02
## [274,] 0.375000000 0.3750000000 1.250000e-01
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## [276,] 0.386693968 0.3625255950 1.132892e-01
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## [278,] 0.243697761 0.4430868383 2.685375e-01
## [279,] 0.407438488 0.3355375785 9.210835e-02
## [280,] 0.321175019 0.4163379880 1.798991e-01
## [281,] 0.436239133 0.2755194522 5.800410e-02
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## [284,] 0.362525595 0.3866939680 1.374912e-01
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## [286,] 0.386693968 0.3625255950 1.132892e-01
## [287,] 0.375000000 0.3750000000 1.250000e-01
## [288,] 0.440355309 0.2596967205 5.105149e-02
## [289,] 0.243697761 0.4430868383 2.685375e-01
## [290,] 0.362525595 0.3866939680 1.374912e-01
## [291,] 0.444093854 0.2114732637 3.356718e-02
## [292,] 0.377630828 0.0906313987 7.250512e-03
## [293,] 0.424154946 0.3063341278 7.374710e-02
## [294,] 0.243697761 0.4430868383 2.685375e-01
## [295,] 0.416337988 0.3211750193 8.258786e-02
## [296,] 0.424154946 0.3063341278 7.374710e-02
## [297,] 0.416337988 0.3211750193 8.258786e-02
## [298,] 0.349346279 0.3975319727 1.507880e-01
## [299,] 0.195398778 0.4422182874 3.336033e-01
## [300,] 0.416337988 0.3211750193 8.258786e-02
## [301,] 0.426168977 0.1482326877 1.718640e-02
## [302,] 0.417093250 0.1331148669 1.416116e-02
## [303,] 0.362525595 0.3866939680 1.374912e-01
## [304,] 0.362525595 0.3866939680 1.374912e-01
## [305,] 0.444358195 0.2275981001 3.885821e-02
## [306,] 0.293645732 0.0435030714 2.148300e-03
## [307,] 0.375000000 0.3750000000 1.250000e-01
## [308,] 0.392899701 0.1042386963 9.218388e-03
## [309,] 0.275519452 0.4362391326 2.302373e-01
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## [314,] 0.416337988 0.3211750193 8.258786e-02
## [315,] 0.386693968 0.3625255950 1.132892e-01
## [316,] 0.417093250 0.1331148669 1.416116e-02
## [317,] 0.392899701 0.1042386963 9.218388e-03
## [318,] 0.386693968 0.3625255950 1.132892e-01
## [319,] 0.433331375 0.1637029640 2.061445e-02
## [320,] 0.397531973 0.3493462791 1.023338e-01
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## [322,] 0.407438488 0.3355375785 9.210835e-02
## [323,] 0.397531973 0.3493462791 1.023338e-01
## [324,] 0.375000000 0.3750000000 1.250000e-01
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## [326,] 0.349346279 0.3975319727 1.507880e-01
## [327,] 0.407438488 0.3355375785 9.210835e-02
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## [339,] 0.440355309 0.2596967205 5.105149e-02
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## [343,] 0.440355309 0.2596967205 5.105149e-02
## [344,] 0.204487093 0.0179374643 5.244873e-04
## [345,] 0.416337988 0.3211750193 8.258786e-02
## [346,] 0.163702964 0.4333313752 3.823512e-01
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## [348,] 0.377630828 0.0906313987 7.250512e-03
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## [353,] 0.397531973 0.3493462791 1.023338e-01
## [354,] 0.397531973 0.3493462791 1.023338e-01
## [355,] 0.444358195 0.2275981001 3.885821e-02
## [356,] 0.362525595 0.3866939680 1.374912e-01
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## [358,] 0.416337988 0.3211750193 8.258786e-02
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## [360,] 0.436239133 0.2755194522 5.800410e-02
## [361,] 0.275519452 0.4362391326 2.302373e-01
## [362,] 0.362525595 0.3866939680 1.374912e-01
## [363,] 0.321175019 0.4163379880 1.798991e-01
## [364,] 0.444093854 0.2114732637 3.356718e-02
## [365,] 0.275519452 0.4362391326 2.302373e-01
## [366,] 0.362525595 0.3866939680 1.374912e-01
## [367,] 0.375000000 0.3750000000 1.250000e-01
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## [369,] 0.362525595 0.3866939680 1.374912e-01
## [370,] 0.321175019 0.4163379880 1.798991e-01
## [371,] 0.340371253 0.0654560102 4.195898e-03
## [372,] 0.416337988 0.3211750193 8.258786e-02
## [373,] 0.236850055 0.0253767916 9.063140e-04
## [374,] 0.266544426 0.0339238361 1.439193e-03
## [375,] 0.397531973 0.3493462791 1.023338e-01
## [376,] 0.444093854 0.2114732637 3.356718e-02
## [377,] 0.417093250 0.1331148669 1.416116e-02
## [378,] 0.444358195 0.2275981001 3.885821e-02
## [379,] 0.407438488 0.3355375785 9.210835e-02
## [380,] 0.195398778 0.4422182874 3.336033e-01
## [381,] 0.406028666 0.1184250277 1.151354e-02
## [382,] 0.195398778 0.4422182874 3.336033e-01
## [383,] 0.416337988 0.3211750193 8.258786e-02
## [384,] 0.243697761 0.4430868383 2.685375e-01
## [385,] 0.266544426 0.0339238361 1.439193e-03
## [386,] 0.426168977 0.1482326877 1.718640e-02
## [387,] 0.424154946 0.3063341278 7.374710e-02
## [388,] 0.148232688 0.4261689772 4.084119e-01
## [389,] 0.306334128 0.4241549461 1.957638e-01
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## [391,] 0.392899701 0.1042386963 9.218388e-03
## [392,] 0.266544426 0.0339238361 1.439193e-03
## [393,] 0.349346279 0.3975319727 1.507880e-01
## [394,] 0.340371253 0.0654560102 4.195898e-03
## [395,] 0.321175019 0.4163379880 1.798991e-01
## [396,] 0.407438488 0.3355375785 9.210835e-02
## [397,] 0.444093854 0.2114732637 3.356718e-02
## [398,] 0.444358195 0.2275981001 3.885821e-02
## [399,] 0.442218287 0.1953987782 2.877966e-02
## [400,] 0.227598100 0.4443581954 2.891855e-01
## [401,] 0.417093250 0.1331148669 1.416116e-02
## [402,] 0.204487093 0.0179374643 5.244873e-04
## [403,] 0.442218287 0.1953987782 2.877966e-02
## [404,] 0.318229499 0.0540389715 3.058810e-03
## [405,] 0.397531973 0.3493462791 1.023338e-01
## [406,] 0.335537578 0.4074384881 1.649156e-01
## [407,] 0.442218287 0.1953987782 2.877966e-02
## [408,] 0.426168977 0.1482326877 1.718640e-02
## [409,] 0.349346279 0.3975319727 1.507880e-01
## [410,] 0.362525595 0.3866939680 1.374912e-01
## [411,] 0.306334128 0.4241549461 1.957638e-01
## [412,] 0.362525595 0.3866939680 1.374912e-01
## [413,] 0.406028666 0.1184250277 1.151354e-02
## [414,] 0.442218287 0.1953987782 2.877966e-02
## [415,] 0.046838810 0.0007678494 4.195898e-06
## [416,] 0.406028666 0.1184250277 1.151354e-02
## [417,] 0.436239133 0.2755194522 5.800410e-02
## [418,] 0.430813836 0.2910904300 6.556091e-02
## [419,] 0.424154946 0.3063341278 7.374710e-02
## [420,] 0.443086838 0.2436977611 4.467792e-02
## [421,] 0.430813836 0.2910904300 6.556091e-02
## [422,] 0.406028666 0.1184250277 1.151354e-02
## [423,] 0.195398778 0.4422182874 3.336033e-01
## [424,] 0.397531973 0.3493462791 1.023338e-01
## [425,] 0.291090430 0.4308138364 2.125348e-01
## [426,] 0.335537578 0.4074384881 1.649156e-01
## [427,] 0.318229499 0.0540389715 3.058810e-03
## [428,] 0.169380014 0.0116813803 2.685375e-04
## [429,] 0.436239133 0.2755194522 5.800410e-02
## [430,] 0.392899701 0.1042386963 9.218388e-03
## [431,] 0.227598100 0.4443581954 2.891855e-01
## [432,] 0.438655970 0.1794501695 2.447048e-02
## [433,] 0.406028666 0.1184250277 1.151354e-02
## [434,] 0.406028666 0.1184250277 1.151354e-02
## [435,] 0.266544426 0.0339238361 1.439193e-03
## [436,] 0.430813836 0.2910904300 6.556091e-02
## [437,] 0.424154946 0.3063341278 7.374710e-02
## [438,] 0.259696720 0.4403553087 2.488965e-01
## [439,] 0.440355309 0.2596967205 5.105149e-02
## [440,] 0.444093854 0.2114732637 3.356718e-02
## [441,] 0.243697761 0.4430868383 2.685375e-01
## [442,] 0.227598100 0.4443581954 2.891855e-01
## [443,] 0.444358195 0.2275981001 3.885821e-02
## [444,] 0.424154946 0.3063341278 7.374710e-02
## [445,] 0.065456010 0.3403712531 5.899768e-01
## [446,] 0.318229499 0.0540389715 3.058810e-03
## [447,] 0.397531973 0.3493462791 1.023338e-01
## [448,] 0.360146521 0.0776786613 5.584740e-03
## [449,] 0.436239133 0.2755194522 5.800410e-02
## [450,] 0.349346279 0.3975319727 1.507880e-01
## [451,] 0.444358195 0.2275981001 3.885821e-02
## [452,] 0.204487093 0.0179374643 5.244873e-04
## [453,] 0.392899701 0.1042386963 9.218388e-03
## [454,] 0.227598100 0.4443581954 2.891855e-01
## [455,] 0.436239133 0.2755194522 5.800410e-02
## [456,] 0.433331375 0.1637029640 2.061445e-02
## [457,] 0.444093854 0.2114732637 3.356718e-02
## [458,] 0.416337988 0.3211750193 8.258786e-02
## [459,] 0.243697761 0.4430868383 2.685375e-01
## [460,] 0.293645732 0.0435030714 2.148300e-03
## [461,] 0.377630828 0.0906313987 7.250512e-03
## [462,] 0.306334128 0.4241549461 1.957638e-01
## [463,] 0.335537578 0.4074384881 1.649156e-01
## [464,] 0.033923836 0.2665444262 6.980925e-01
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## [466,] 0.321175019 0.4163379880 1.798991e-01
## [467,] 0.335537578 0.4074384881 1.649156e-01
## [468,] 0.259696720 0.4403553087 2.488965e-01
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## [470,] 0.349346279 0.3975319727 1.507880e-01
## [471,] 0.430813836 0.2910904300 6.556091e-02
## [472,] 0.362525595 0.3866939680 1.374912e-01
## [473,] 0.321175019 0.4163379880 1.798991e-01
## [474,] 0.306334128 0.4241549461 1.957638e-01
## [475,] 0.443086838 0.2436977611 4.467792e-02
## [476,] 0.377630828 0.0906313987 7.250512e-03
## [477,] 0.416337988 0.3211750193 8.258786e-02
## [478,] 0.291090430 0.4308138364 2.125348e-01
## [479,] 0.416337988 0.3211750193 8.258786e-02
## [480,] 0.424154946 0.3063341278 7.374710e-02
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## [482,] 0.440355309 0.2596967205 5.105149e-02
## [483,] 0.335537578 0.4074384881 1.649156e-01
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## [486,] 0.318229499 0.0540389715 3.058810e-03
## [487,] 0.430813836 0.2910904300 6.556091e-02
## [488,] 0.407438488 0.3355375785 9.210835e-02
## [489,] 0.386693968 0.3625255950 1.132892e-01
## [490,] 0.360146521 0.0776786613 5.584740e-03
## [491,] 0.236850055 0.0253767916 9.063140e-04
## [492,] 0.362525595 0.3866939680 1.374912e-01
## [493,] 0.236850055 0.0253767916 9.063140e-04
## [494,] 0.436239133 0.2755194522 5.800410e-02
## [495,] 0.375000000 0.3750000000 1.250000e-01
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## [497,] 0.440355309 0.2596967205 5.105149e-02
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## [499,] 0.236850055 0.0253767916 9.063140e-04
## [500,] 0.424154946 0.3063341278 7.374710e-02
## [501,] 0.266544426 0.0339238361 1.439193e-03
## [502,] 0.443086838 0.2436977611 4.467792e-02
## [503,] 0.266544426 0.0339238361 1.439193e-03
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## [505,] 0.243697761 0.4430868383 2.685375e-01
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## [509,] 0.416337988 0.3211750193 8.258786e-02
## [510,] 0.430813836 0.2910904300 6.556091e-02
## [511,] 0.416337988 0.3211750193 8.258786e-02
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## [517,] 0.293645732 0.0435030714 2.148300e-03
## [518,] 0.375000000 0.3750000000 1.250000e-01
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## [524,] 0.416337988 0.3211750193 8.258786e-02
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## [526,] 0.243697761 0.4430868383 2.685375e-01
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## [528,] 0.375000000 0.3750000000 1.250000e-01
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## [532,] 0.440355309 0.2596967205 5.105149e-02
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## [539,] 0.417093250 0.1331148669 1.416116e-02
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## [542,] 0.386693968 0.3625255950 1.132892e-01
## [543,] 0.291090430 0.4308138364 2.125348e-01
## [544,] 0.407438488 0.3355375785 9.210835e-02
## [545,] 0.386693968 0.3625255950 1.132892e-01
## [546,] 0.204487093 0.0179374643 5.244873e-04
## [547,] 0.211473264 0.4440938538 3.108657e-01
## [548,] 0.426168977 0.1482326877 1.718640e-02
## [549,] 0.416337988 0.3211750193 8.258786e-02
## [550,] 0.340371253 0.0654560102 4.195898e-03
## [551,] 0.417093250 0.1331148669 1.416116e-02
## [552,] 0.243697761 0.4430868383 2.685375e-01
## [553,] 0.397531973 0.3493462791 1.023338e-01
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## [555,] 0.275519452 0.4362391326 2.302373e-01
## [556,] 0.275519452 0.4362391326 2.302373e-01
## [557,] 0.204487093 0.0179374643 5.244873e-04
## [558,] 0.416337988 0.3211750193 8.258786e-02
## [559,] 0.243697761 0.4430868383 2.685375e-01
## [560,] 0.377630828 0.0906313987 7.250512e-03
## [561,] 0.386693968 0.3625255950 1.132892e-01
## [562,] 0.442218287 0.1953987782 2.877966e-02
## [563,] 0.375000000 0.3750000000 1.250000e-01
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## [577,] 0.444093854 0.2114732637 3.356718e-02
## [578,] 0.392899701 0.1042386963 9.218388e-03
## [579,] 0.321175019 0.4163379880 1.798991e-01
## [580,] 0.131453291 0.0066840657 1.132892e-04
## [581,] 0.444093854 0.2114732637 3.356718e-02
## [582,] 0.340371253 0.0654560102 4.195898e-03
## [583,] 0.406028666 0.1184250277 1.151354e-02
## [584,] 0.340371253 0.0654560102 4.195898e-03
## [585,] 0.436239133 0.2755194522 5.800410e-02
## [586,] 0.340371253 0.0654560102 4.195898e-03
## [587,] 0.386693968 0.3625255950 1.132892e-01
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## [589,] 0.442218287 0.1953987782 2.877966e-02
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## [592,] 0.442218287 0.1953987782 2.877966e-02
## [593,] 0.417093250 0.1331148669 1.416116e-02
## [594,] 0.046838810 0.0007678494 4.195898e-06
## [595,] 0.362525595 0.3866939680 1.374912e-01
## [596,] 0.443086838 0.2436977611 4.467792e-02
## [597,] 0.118425028 0.4060286664 4.640328e-01
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## [599,] 0.417093250 0.1331148669 1.416116e-02
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## [601,] 0.397531973 0.3493462791 1.023338e-01
## [602,] 0.291090430 0.4308138364 2.125348e-01
## [603,] 0.417093250 0.1331148669 1.416116e-02
## [604,] 0.275519452 0.4362391326 2.302373e-01
## [605,] 0.397531973 0.3493462791 1.023338e-01
## [606,] 0.416337988 0.3211750193 8.258786e-02
## [607,] 0.424154946 0.3063341278 7.374710e-02
## [608,] 0.266544426 0.0339238361 1.439193e-03
## [609,] 0.416337988 0.3211750193 8.258786e-02
## [610,] 0.275519452 0.4362391326 2.302373e-01
## [611,] 0.397531973 0.3493462791 1.023338e-01
## [612,] 0.444358195 0.2275981001 3.885821e-02
## [613,] 0.386693968 0.3625255950 1.132892e-01
## [614,] 0.436239133 0.2755194522 5.800410e-02
## [615,] 0.291090430 0.4308138364 2.125348e-01
## [616,] 0.195398778 0.4422182874 3.336033e-01
## [617,] 0.444358195 0.2275981001 3.885821e-02
## [618,] 0.377630828 0.0906313987 7.250512e-03
## [619,] 0.375000000 0.3750000000 1.250000e-01
## [620,] 0.417093250 0.1331148669 1.416116e-02
## [621,] 0.392899701 0.1042386963 9.218388e-03
## [622,] 0.291090430 0.4308138364 2.125348e-01
## [623,] 0.438655970 0.1794501695 2.447048e-02
## [624,] 0.417093250 0.1331148669 1.416116e-02
## [625,] 0.386693968 0.3625255950 1.132892e-01
## [626,] 0.211473264 0.4440938538 3.108657e-01
## [627,] 0.340371253 0.0654560102 4.195898e-03
## [628,] 0.360146521 0.0776786613 5.584740e-03
## [629,] 0.406028666 0.1184250277 1.151354e-02
## [630,] 0.417093250 0.1331148669 1.416116e-02
## [631,] 0.443086838 0.2436977611 4.467792e-02
## [632,] 0.436239133 0.2755194522 5.800410e-02
## [633,] 0.444358195 0.2275981001 3.885821e-02
## [634,] 0.424154946 0.3063341278 7.374710e-02
## [635,] 0.430813836 0.2910904300 6.556091e-02
## [636,] 0.424154946 0.3063341278 7.374710e-02
## [637,] 0.360146521 0.0776786613 5.584740e-03
## [638,] 0.397531973 0.3493462791 1.023338e-01
## [639,] 0.407438488 0.3355375785 9.210835e-02
## [640,] 0.335537578 0.4074384881 1.649156e-01
## [641,] 0.444093854 0.2114732637 3.356718e-02
## [642,] 0.436239133 0.2755194522 5.800410e-02
## [643,] 0.275519452 0.4362391326 2.302373e-01
## [644,] 0.360146521 0.0776786613 5.584740e-03
## [645,] 0.417093250 0.1331148669 1.416116e-02
## [646,] 0.417093250 0.1331148669 1.416116e-02
## [647,] 0.440355309 0.2596967205 5.105149e-02
## [648,] 0.424154946 0.3063341278 7.374710e-02
## [649,] 0.416337988 0.3211750193 8.258786e-02
## [650,] 0.243697761 0.4430868383 2.685375e-01
## [651,] 0.360146521 0.0776786613 5.584740e-03
## [652,] 0.436239133 0.2755194522 5.800410e-02
## [653,] 0.397531973 0.3493462791 1.023338e-01
## [654,] 0.377630828 0.0906313987 7.250512e-03
## [655,] 0.444358195 0.2275981001 3.885821e-02
## [656,] 0.375000000 0.3750000000 1.250000e-01
## [657,] 0.424154946 0.3063341278 7.374710e-02
## [658,] 0.306334128 0.4241549461 1.957638e-01
## [659,] 0.436239133 0.2755194522 5.800410e-02
## [660,] 0.444358195 0.2275981001 3.885821e-02
## [661,] 0.377630828 0.0906313987 7.250512e-03
## [662,] 0.417093250 0.1331148669 1.416116e-02
## [663,] 0.444093854 0.2114732637 3.356718e-02
## [664,] 0.335537578 0.4074384881 1.649156e-01
## [665,] 0.306334128 0.4241549461 1.957638e-01
## [666,] 0.179450170 0.4386559699 3.574234e-01
## [667,] 0.259696720 0.4403553087 2.488965e-01
## [668,] 0.406028666 0.1184250277 1.151354e-02
## [669,] 0.443086838 0.2436977611 4.467792e-02
## [670,] 0.375000000 0.3750000000 1.250000e-01
## [671,] 0.306334128 0.4241549461 1.957638e-01
## [672,] 0.386693968 0.3625255950 1.132892e-01
## [673,] 0.407438488 0.3355375785 9.210835e-02
## [674,] 0.377630828 0.0906313987 7.250512e-03
## [675,] 0.318229499 0.0540389715 3.058810e-03
## [676,] 0.291090430 0.4308138364 2.125348e-01
## [677,] 0.406028666 0.1184250277 1.151354e-02
## [678,] 0.375000000 0.3750000000 1.250000e-01
## [679,] 0.362525595 0.3866939680 1.374912e-01
## [680,] 0.362525595 0.3866939680 1.374912e-01
## [681,] 0.424154946 0.3063341278 7.374710e-02
## [682,] 0.259696720 0.4403553087 2.488965e-01
## [683,] 0.043503071 0.2936457319 6.607029e-01
## [684,] 0.204487093 0.0179374643 5.244873e-04
## [685,] 0.392899701 0.1042386963 9.218388e-03
## [686,] 0.407438488 0.3355375785 9.210835e-02
## [687,] 0.291090430 0.4308138364 2.125348e-01
## [688,] 0.424154946 0.3063341278 7.374710e-02
## [689,] 0.424154946 0.3063341278 7.374710e-02
## [690,] 0.406028666 0.1184250277 1.151354e-02
## [691,] 0.211473264 0.4440938538 3.108657e-01
## [692,] 0.386693968 0.3625255950 1.132892e-01
## [693,] 0.306334128 0.4241549461 1.957638e-01
## [694,] 0.360146521 0.0776786613 5.584740e-03
## [695,] 0.433331375 0.1637029640 2.061445e-02
## [696,] 0.266544426 0.0339238361 1.439193e-03
## [697,] 0.349346279 0.3975319727 1.507880e-01
## [698,] 0.417093250 0.1331148669 1.416116e-02
## [699,] 0.227598100 0.4443581954 2.891855e-01
## [700,] 0.179450170 0.4386559699 3.574234e-01
## [701,] 0.340371253 0.0654560102 4.195898e-03
## [702,] 0.335537578 0.4074384881 1.649156e-01
## [703,] 0.360146521 0.0776786613 5.584740e-03
## [704,] 0.426168977 0.1482326877 1.718640e-02
## [705,] 0.266544426 0.0339238361 1.439193e-03
## [706,] 0.118425028 0.4060286664 4.640328e-01
## [707,] 0.430813836 0.2910904300 6.556091e-02
## [708,] 0.416337988 0.3211750193 8.258786e-02
## [709,] 0.433331375 0.1637029640 2.061445e-02
## [710,] 0.375000000 0.3750000000 1.250000e-01
## [711,] 0.211473264 0.4440938538 3.108657e-01
## [712,] 0.291090430 0.4308138364 2.125348e-01
## [713,] 0.406028666 0.1184250277 1.151354e-02
## [714,] 0.321175019 0.4163379880 1.798991e-01
## [715,] 0.259696720 0.4403553087 2.488965e-01
## [716,] 0.349346279 0.3975319727 1.507880e-01
## [717,] 0.275519452 0.4362391326 2.302373e-01
## [718,] 0.377630828 0.0906313987 7.250512e-03
## [719,] 0.131453291 0.0066840657 1.132892e-04
## [720,] 0.211473264 0.4440938538 3.108657e-01
## [721,] 0.211473264 0.4440938538 3.108657e-01
## [722,] 0.386693968 0.3625255950 1.132892e-01
## [723,] 0.444358195 0.2275981001 3.885821e-02
## [724,] 0.406028666 0.1184250277 1.151354e-02
## [725,] 0.349346279 0.3975319727 1.507880e-01
## [726,] 0.424154946 0.3063341278 7.374710e-02
## [727,] 0.407438488 0.3355375785 9.210835e-02
## [728,] 0.236850055 0.0253767916 9.063140e-04
## [729,] 0.442218287 0.1953987782 2.877966e-02
## [730,] 0.043503071 0.2936457319 6.607029e-01
## [731,] 0.362525595 0.3866939680 1.374912e-01
## [732,] 0.318229499 0.0540389715 3.058810e-03
## [733,] 0.440355309 0.2596967205 5.105149e-02
## [734,] 0.090631399 0.0030210466 3.356718e-05
## [735,] 0.375000000 0.3750000000 1.250000e-01
## [736,] 0.266544426 0.0339238361 1.439193e-03
## [737,] 0.321175019 0.4163379880 1.798991e-01
## [738,] 0.416337988 0.3211750193 8.258786e-02
## [739,] 0.406028666 0.1184250277 1.151354e-02
## [740,] 0.397531973 0.3493462791 1.023338e-01
## [741,] 0.293645732 0.0435030714 2.148300e-03
## [742,] 0.392899701 0.1042386963 9.218388e-03
## [743,] 0.406028666 0.1184250277 1.151354e-02
## [744,] 0.362525595 0.3866939680 1.374912e-01
## [745,] 0.375000000 0.3750000000 1.250000e-01
## [746,] 0.266544426 0.0339238361 1.439193e-03
## [747,] 0.211473264 0.4440938538 3.108657e-01
## [748,] 0.179450170 0.4386559699 3.574234e-01
## [749,] 0.163702964 0.4333313752 3.823512e-01
## [750,] 0.360146521 0.0776786613 5.584740e-03
## [751,] 0.349346279 0.3975319727 1.507880e-01
## [752,] 0.340371253 0.0654560102 4.195898e-03
## [753,] 0.438655970 0.1794501695 2.447048e-02
## [754,] 0.340371253 0.0654560102 4.195898e-03
## [755,] 0.444093854 0.2114732637 3.356718e-02
## [756,] 0.433331375 0.1637029640 2.061445e-02
## [757,] 0.407438488 0.3355375785 9.210835e-02
## [758,] 0.442218287 0.1953987782 2.877966e-02
## [759,] 0.227598100 0.4443581954 2.891855e-01
## [760,] 0.349346279 0.3975319727 1.507880e-01
## [761,] 0.293645732 0.0435030714 2.148300e-03
## [762,] 0.406028666 0.1184250277 1.151354e-02
## [763,] 0.204487093 0.0179374643 5.244873e-04
## [764,] 0.362525595 0.3866939680 1.374912e-01
## [765,] 0.266544426 0.0339238361 1.439193e-03
## [766,] 0.430813836 0.2910904300 6.556091e-02
## [767,] 0.438655970 0.1794501695 2.447048e-02
## [768,] 0.362525595 0.3866939680 1.374912e-01
## [769,] 0.426168977 0.1482326877 1.718640e-02
## [770,] 0.426168977 0.1482326877 1.718640e-02
## [771,] 0.444358195 0.2275981001 3.885821e-02
## [772,] 0.443086838 0.2436977611 4.467792e-02
## [773,] 0.406028666 0.1184250277 1.151354e-02
## [774,] 0.163702964 0.4333313752 3.823512e-01
## [775,] 0.104238696 0.3928997013 4.936432e-01
## [776,] 0.444358195 0.2275981001 3.885821e-02
## [777,] 0.392899701 0.1042386963 9.218388e-03
## [778,] 0.195398778 0.4422182874 3.336033e-01
## [779,] 0.131453291 0.0066840657 1.132892e-04
## [780,] 0.321175019 0.4163379880 1.798991e-01
## [781,] 0.436239133 0.2755194522 5.800410e-02
## [782,] 0.306334128 0.4241549461 1.957638e-01
## [783,] 0.438655970 0.1794501695 2.447048e-02
## [784,] 0.211473264 0.4440938538 3.108657e-01
## [785,] 0.436239133 0.2755194522 5.800410e-02
## [786,] 0.440355309 0.2596967205 5.105149e-02
## [787,] 0.426168977 0.1482326877 1.718640e-02
## [788,] 0.169380014 0.0116813803 2.685375e-04
## [789,] 0.397531973 0.3493462791 1.023338e-01
## [790,] 0.227598100 0.4443581954 2.891855e-01
## [791,] 0.360146521 0.0776786613 5.584740e-03
## [792,] 0.406028666 0.1184250277 1.151354e-02
## [793,] 0.375000000 0.3750000000 1.250000e-01
## [794,] 0.417093250 0.1331148669 1.416116e-02
## [795,] 0.349346279 0.3975319727 1.507880e-01
## [796,] 0.442218287 0.1953987782 2.877966e-02
## [797,] 0.163702964 0.4333313752 3.823512e-01
## [798,] 0.443086838 0.2436977611 4.467792e-02
## [799,] 0.416337988 0.3211750193 8.258786e-02
## [800,] 0.133114867 0.4170932496 4.356307e-01
## [801,] 0.362525595 0.3866939680 1.374912e-01
## [802,] 0.386693968 0.3625255950 1.132892e-01
## [803,] 0.377630828 0.0906313987 7.250512e-03
## [804,] 0.442218287 0.1953987782 2.877966e-02
## [805,] 0.349346279 0.3975319727 1.507880e-01
## [806,] 0.291090430 0.4308138364 2.125348e-01
## [807,] 0.417093250 0.1331148669 1.416116e-02
## [808,] 0.426168977 0.1482326877 1.718640e-02
## [809,] 0.375000000 0.3750000000 1.250000e-01
## [810,] 0.179450170 0.4386559699 3.574234e-01
## [811,] 0.392899701 0.1042386963 9.218388e-03
## [812,] 0.430813836 0.2910904300 6.556091e-02
## [813,] 0.430813836 0.2910904300 6.556091e-02
## [814,] 0.386693968 0.3625255950 1.132892e-01
## [815,] 0.386693968 0.3625255950 1.132892e-01
## [816,] 0.360146521 0.0776786613 5.584740e-03
## [817,] 0.335537578 0.4074384881 1.649156e-01
## [818,] 0.443086838 0.2436977611 4.467792e-02
## [819,] 0.306334128 0.4241549461 1.957638e-01
## [820,] 0.444093854 0.2114732637 3.356718e-02
## [821,] 0.340371253 0.0654560102 4.195898e-03
## [822,] 0.417093250 0.1331148669 1.416116e-02
## [823,] 0.424154946 0.3063341278 7.374710e-02
## [824,] 0.440355309 0.2596967205 5.105149e-02
## [825,] 0.392899701 0.1042386963 9.218388e-03
## [826,] 0.236850055 0.0253767916 9.063140e-04
## [827,] 0.426168977 0.1482326877 1.718640e-02
## [828,] 0.340371253 0.0654560102 4.195898e-03
## [829,] 0.377630828 0.0906313987 7.250512e-03
## [830,] 0.416337988 0.3211750193 8.258786e-02
## [831,] 0.433331375 0.1637029640 2.061445e-02
## [832,] 0.397531973 0.3493462791 1.023338e-01
## [833,] 0.054038972 0.3182294988 6.246727e-01
## [834,] 0.444358195 0.2275981001 3.885821e-02
## [835,] 0.440355309 0.2596967205 5.105149e-02
## [836,] 0.090631399 0.0030210466 3.356718e-05
## [837,] 0.426168977 0.1482326877 1.718640e-02
## [838,] 0.293645732 0.0435030714 2.148300e-03
## [839,] 0.349346279 0.3975319727 1.507880e-01
## [840,] 0.266544426 0.0339238361 1.439193e-03
## [841,] 0.442218287 0.1953987782 2.877966e-02
## [842,] 0.291090430 0.4308138364 2.125348e-01
## [843,] 0.444358195 0.2275981001 3.885821e-02
## [844,] 0.407438488 0.3355375785 9.210835e-02
## [845,] 0.386693968 0.3625255950 1.132892e-01
## [846,] 0.306334128 0.4241549461 1.957638e-01
## [847,] 0.386693968 0.3625255950 1.132892e-01
## [848,] 0.397531973 0.3493462791 1.023338e-01
## [849,] 0.090631399 0.0030210466 3.356718e-05
## [850,] 0.442218287 0.1953987782 2.877966e-02
## [851,] 0.407438488 0.3355375785 9.210835e-02
## [852,] 0.306334128 0.4241549461 1.957638e-01
## [853,] 0.349346279 0.3975319727 1.507880e-01
## [854,] 0.406028666 0.1184250277 1.151354e-02
## [855,] 0.433331375 0.1637029640 2.061445e-02
## [856,] 0.179450170 0.4386559699 3.574234e-01
## [857,] 0.397531973 0.3493462791 1.023338e-01
## [858,] 0.340371253 0.0654560102 4.195898e-03
## [859,] 0.195398778 0.4422182874 3.336033e-01
## [860,] 0.293645732 0.0435030714 2.148300e-03
## [861,] 0.436239133 0.2755194522 5.800410e-02
## [862,] 0.392899701 0.1042386963 9.218388e-03
## [863,] 0.424154946 0.3063341278 7.374710e-02
## [864,] 0.407438488 0.3355375785 9.210835e-02
## [865,] 0.306334128 0.4241549461 1.957638e-01
## [866,] 0.443086838 0.2436977611 4.467792e-02
## [867,] 0.444093854 0.2114732637 3.356718e-02
## [868,] 0.430813836 0.2910904300 6.556091e-02
## [869,] 0.377630828 0.0906313987 7.250512e-03
## [870,] 0.243697761 0.4430868383 2.685375e-01
## [871,] 0.416337988 0.3211750193 8.258786e-02
## [872,] 0.397531973 0.3493462791 1.023338e-01
## [873,] 0.397531973 0.3493462791 1.023338e-01
## [874,] 0.227598100 0.4443581954 2.891855e-01
## [875,] 0.443086838 0.2436977611 4.467792e-02
## [876,] 0.436239133 0.2755194522 5.800410e-02
## [877,] 0.360146521 0.0776786613 5.584740e-03
## [878,] 0.243697761 0.4430868383 2.685375e-01
## [879,] 0.433331375 0.1637029640 2.061445e-02
## [880,] 0.386693968 0.3625255950 1.132892e-01
## [881,] 0.318229499 0.0540389715 3.058810e-03
## [882,] 0.443086838 0.2436977611 4.467792e-02
## [883,] 0.426168977 0.1482326877 1.718640e-02
## [884,] 0.090631399 0.0030210466 3.356718e-05
## [885,] 0.362525595 0.3866939680 1.374912e-01
## [886,] 0.436239133 0.2755194522 5.800410e-02
## [887,] 0.416337988 0.3211750193 8.258786e-02
## [888,] 0.227598100 0.4443581954 2.891855e-01
## [889,] 0.104238696 0.3928997013 4.936432e-01
## [890,] 0.293645732 0.0435030714 2.148300e-03
## [891,] 0.426168977 0.1482326877 1.718640e-02
## [892,] 0.424154946 0.3063341278 7.374710e-02
## [893,] 0.321175019 0.4163379880 1.798991e-01
## [894,] 0.306334128 0.4241549461 1.957638e-01
## [895,] 0.291090430 0.4308138364 2.125348e-01
## [896,] 0.377630828 0.0906313987 7.250512e-03
## [897,] 0.386693968 0.3625255950 1.132892e-01
## [898,] 0.386693968 0.3625255950 1.132892e-01
## [899,] 0.377630828 0.0906313987 7.250512e-03
## [900,] 0.266544426 0.0339238361 1.439193e-03
## [901,] 0.227598100 0.4443581954 2.891855e-01
## [902,] 0.444093854 0.2114732637 3.356718e-02
## [903,] 0.443086838 0.2436977611 4.467792e-02
## [904,] 0.438655970 0.1794501695 2.447048e-02
## [905,] 0.340371253 0.0654560102 4.195898e-03
## [906,] 0.426168977 0.1482326877 1.718640e-02
## [907,] 0.444358195 0.2275981001 3.885821e-02
## [908,] 0.340371253 0.0654560102 4.195898e-03
## [909,] 0.318229499 0.0540389715 3.058810e-03
## [910,] 0.426168977 0.1482326877 1.718640e-02
## [911,] 0.444093854 0.2114732637 3.356718e-02
## [912,] 0.349346279 0.3975319727 1.507880e-01
## [913,] 0.436239133 0.2755194522 5.800410e-02
## [914,] 0.406028666 0.1184250277 1.151354e-02
## [915,] 0.318229499 0.0540389715 3.058810e-03
## [916,] 0.349346279 0.3975319727 1.507880e-01
## [917,] 0.266544426 0.0339238361 1.439193e-03
## [918,] 0.211473264 0.4440938538 3.108657e-01
## [919,] 0.179450170 0.4386559699 3.574234e-01
## [920,] 0.321175019 0.4163379880 1.798991e-01
## [921,] 0.444358195 0.2275981001 3.885821e-02
## [922,] 0.204487093 0.0179374643 5.244873e-04
## [923,] 0.397531973 0.3493462791 1.023338e-01
## [924,] 0.406028666 0.1184250277 1.151354e-02
## [925,] 0.259696720 0.4403553087 2.488965e-01
## [926,] 0.243697761 0.4430868383 2.685375e-01
## [927,] 0.397531973 0.3493462791 1.023338e-01
## [928,] 0.440355309 0.2596967205 5.105149e-02
## [929,] 0.318229499 0.0540389715 3.058810e-03
## [930,] 0.046838810 0.0007678494 4.195898e-06
## [931,] 0.424154946 0.3063341278 7.374710e-02
## [932,] 0.406028666 0.1184250277 1.151354e-02
## [933,] 0.392899701 0.1042386963 9.218388e-03
## [934,] 0.362525595 0.3866939680 1.374912e-01
## [935,] 0.335537578 0.4074384881 1.649156e-01
## [936,] 0.417093250 0.1331148669 1.416116e-02
## [937,] 0.360146521 0.0776786613 5.584740e-03
## [938,] 0.426168977 0.1482326877 1.718640e-02
## [939,] 0.169380014 0.0116813803 2.685375e-04
## [940,] 0.436239133 0.2755194522 5.800410e-02
## [941,] 0.424154946 0.3063341278 7.374710e-02
## [942,] 0.416337988 0.3211750193 8.258786e-02
## [943,] 0.407438488 0.3355375785 9.210835e-02
## [944,] 0.227598100 0.4443581954 2.891855e-01
## [945,] 0.335537578 0.4074384881 1.649156e-01
## [946,] 0.416337988 0.3211750193 8.258786e-02
## [947,] 0.321175019 0.4163379880 1.798991e-01
## [948,] 0.340371253 0.0654560102 4.195898e-03
## [949,] 0.335537578 0.4074384881 1.649156e-01
## [950,] 0.440355309 0.2596967205 5.105149e-02
## [951,] 0.424154946 0.3063341278 7.374710e-02
## [952,] 0.386693968 0.3625255950 1.132892e-01
## [953,] 0.397531973 0.3493462791 1.023338e-01
## [954,] 0.392899701 0.1042386963 9.218388e-03
## [955,] 0.340371253 0.0654560102 4.195898e-03
## [956,] 0.416337988 0.3211750193 8.258786e-02
## [957,] 0.275519452 0.4362391326 2.302373e-01
## [958,] 0.397531973 0.3493462791 1.023338e-01
## [959,] 0.440355309 0.2596967205 5.105149e-02
## [960,] 0.375000000 0.3750000000 1.250000e-01
## [961,] 0.386693968 0.3625255950 1.132892e-01
## [962,] 0.259696720 0.4403553087 2.488965e-01
## [963,] 0.416337988 0.3211750193 8.258786e-02
## [964,] 0.335537578 0.4074384881 1.649156e-01
## [965,] 0.349346279 0.3975319727 1.507880e-01
## [966,] 0.407438488 0.3355375785 9.210835e-02
## [967,] 0.416337988 0.3211750193 8.258786e-02
## [968,] 0.443086838 0.2436977611 4.467792e-02
## [969,] 0.386693968 0.3625255950 1.132892e-01
## [970,] 0.397531973 0.3493462791 1.023338e-01
## [971,] 0.416337988 0.3211750193 8.258786e-02
## [972,] 0.375000000 0.3750000000 1.250000e-01
## [973,] 0.259696720 0.4403553087 2.488965e-01
## [974,] 0.006684066 0.1314532913 8.617494e-01
## [975,] 0.386693968 0.3625255950 1.132892e-01
## [976,] 0.275519452 0.4362391326 2.302373e-01
## [977,] 0.444358195 0.2275981001 3.885821e-02
## [978,] 0.424154946 0.3063341278 7.374710e-02
## [979,] 0.375000000 0.3750000000 1.250000e-01
## [980,] 0.243697761 0.4430868383 2.685375e-01
## [981,] 0.407438488 0.3355375785 9.210835e-02
## [982,] 0.293645732 0.0435030714 2.148300e-03
## [983,] 0.195398778 0.4422182874 3.336033e-01
## [984,] 0.179450170 0.4386559699 3.574234e-01
## [985,] 0.397531973 0.3493462791 1.023338e-01
## [986,] 0.443086838 0.2436977611 4.467792e-02
## [987,] 0.433331375 0.1637029640 2.061445e-02
## [988,] 0.195398778 0.4422182874 3.336033e-01
## [989,] 0.416337988 0.3211750193 8.258786e-02
## [990,] 0.318229499 0.0540389715 3.058810e-03
## [991,] 0.360146521 0.0776786613 5.584740e-03
## [992,] 0.362525595 0.3866939680 1.374912e-01
## [993,] 0.266544426 0.0339238361 1.439193e-03
## [994,] 0.440355309 0.2596967205 5.105149e-02
## [995,] 0.444093854 0.2114732637 3.356718e-02
## [996,] 0.438655970 0.1794501695 2.447048e-02
## [997,] 0.204487093 0.0179374643 5.244873e-04
## [998,] 0.340371253 0.0654560102 4.195898e-03
## [999,] 0.436239133 0.2755194522 5.800410e-02
## [1000,] 0.442218287 0.1953987782 2.877966e-02
## [1001,] 0.243697761 0.4430868383 2.685375e-01
## [1002,] 0.148232688 0.4261689772 4.084119e-01
## [1003,] 0.416337988 0.3211750193 8.258786e-02
## [1004,] 0.443086838 0.2436977611 4.467792e-02
## [1005,] 0.291090430 0.4308138364 2.125348e-01
## [1006,] 0.407438488 0.3355375785 9.210835e-02
## [1007,] 0.291090430 0.4308138364 2.125348e-01
## [1008,] 0.321175019 0.4163379880 1.798991e-01
## [1009,] 0.417093250 0.1331148669 1.416116e-02
## [1010,] 0.306334128 0.4241549461 1.957638e-01
## [1011,] 0.406028666 0.1184250277 1.151354e-02
## [1012,] 0.306334128 0.4241549461 1.957638e-01
## [1013,] 0.444093854 0.2114732637 3.356718e-02
## [1014,] 0.392899701 0.1042386963 9.218388e-03
## [1015,] 0.440355309 0.2596967205 5.105149e-02
## [1016,] 0.416337988 0.3211750193 8.258786e-02
## [1017,] 0.375000000 0.3750000000 1.250000e-01
## [1018,] 0.362525595 0.3866939680 1.374912e-01
## [1019,] 0.443086838 0.2436977611 4.467792e-02
## [1020,] 0.360146521 0.0776786613 5.584740e-03
## [1021,] 0.406028666 0.1184250277 1.151354e-02
## [1022,] 0.349346279 0.3975319727 1.507880e-01
## [1023,] 0.436239133 0.2755194522 5.800410e-02
## [1024,] 0.227598100 0.4443581954 2.891855e-01
## [1025,] 0.392899701 0.1042386963 9.218388e-03
## [1026,] 0.360146521 0.0776786613 5.584740e-03
## [1027,] 0.293645732 0.0435030714 2.148300e-03
## [1028,] 0.362525595 0.3866939680 1.374912e-01
## [1029,] 0.179450170 0.4386559699 3.574234e-01
## [1030,] 0.433331375 0.1637029640 2.061445e-02
## [1031,] 0.169380014 0.0116813803 2.685375e-04
## [1032,] 0.291090430 0.4308138364 2.125348e-01
## [1033,] 0.163702964 0.4333313752 3.823512e-01
## [1034,] 0.430813836 0.2910904300 6.556091e-02
## [1035,] 0.375000000 0.3750000000 1.250000e-01
## [1036,] 0.438655970 0.1794501695 2.447048e-02
## [1037,] 0.293645732 0.0435030714 2.148300e-03
## [1038,] 0.407438488 0.3355375785 9.210835e-02
## [1039,] 0.169380014 0.0116813803 2.685375e-04
## [1040,] 0.163702964 0.4333313752 3.823512e-01
## [1041,] 0.424154946 0.3063341278 7.374710e-02
## [1042,] 0.349346279 0.3975319727 1.507880e-01
## [1043,] 0.407438488 0.3355375785 9.210835e-02
## [1044,] 0.430813836 0.2910904300 6.556091e-02
## [1045,] 0.443086838 0.2436977611 4.467792e-02
## [1046,] 0.440355309 0.2596967205 5.105149e-02
## [1047,] 0.349346279 0.3975319727 1.507880e-01
## [1048,] 0.426168977 0.1482326877 1.718640e-02
## [1049,] 0.416337988 0.3211750193 8.258786e-02
## [1050,] 0.433331375 0.1637029640 2.061445e-02
## [1051,] 0.417093250 0.1331148669 1.416116e-02
## [1052,] 0.407438488 0.3355375785 9.210835e-02
## [1053,] 0.424154946 0.3063341278 7.374710e-02
## [1054,] 0.362525595 0.3866939680 1.374912e-01
## [1055,] 0.291090430 0.4308138364 2.125348e-01
## [1056,] 0.375000000 0.3750000000 1.250000e-01
## [1057,] 0.397531973 0.3493462791 1.023338e-01
## [1058,] 0.443086838 0.2436977611 4.467792e-02
## [1059,] 0.131453291 0.0066840657 1.132892e-04
## [1060,] 0.211473264 0.4440938538 3.108657e-01
## [1061,] 0.275519452 0.4362391326 2.302373e-01
## [1062,] 0.195398778 0.4422182874 3.336033e-01
## [1063,] 0.424154946 0.3063341278 7.374710e-02
## [1064,] 0.430813836 0.2910904300 6.556091e-02
## [1065,] 0.360146521 0.0776786613 5.584740e-03
## [1066,] 0.444093854 0.2114732637 3.356718e-02
## [1067,] 0.293645732 0.0435030714 2.148300e-03
## [1068,] 0.340371253 0.0654560102 4.195898e-03
## [1069,] 0.416337988 0.3211750193 8.258786e-02
## [1070,] 0.444358195 0.2275981001 3.885821e-02
## [1071,] 0.417093250 0.1331148669 1.416116e-02
## [1072,] 0.424154946 0.3063341278 7.374710e-02
## [1073,] 0.386693968 0.3625255950 1.132892e-01
## [1074,] 0.416337988 0.3211750193 8.258786e-02
## [1075,] 0.275519452 0.4362391326 2.302373e-01
## [1076,] 0.443086838 0.2436977611 4.467792e-02
## [1077,] 0.054038972 0.3182294988 6.246727e-01
## [1078,] 0.377630828 0.0906313987 7.250512e-03
## [1079,] 0.416337988 0.3211750193 8.258786e-02
## [1080,] 0.440355309 0.2596967205 5.105149e-02
## [1081,] 0.443086838 0.2436977611 4.467792e-02
## [1082,] 0.227598100 0.4443581954 2.891855e-01
## [1083,] 0.444093854 0.2114732637 3.356718e-02
## [1084,] 0.293645732 0.0435030714 2.148300e-03
## [1085,] 0.321175019 0.4163379880 1.798991e-01
## [1086,] 0.407438488 0.3355375785 9.210835e-02
## [1087,] 0.436239133 0.2755194522 5.800410e-02
## [1088,] 0.377630828 0.0906313987 7.250512e-03
## [1089,] 0.426168977 0.1482326877 1.718640e-02
## [1090,] 0.335537578 0.4074384881 1.649156e-01
## [1091,] 0.335537578 0.4074384881 1.649156e-01
## [1092,] 0.306334128 0.4241549461 1.957638e-01
## [1093,] 0.397531973 0.3493462791 1.023338e-01
## [1094,] 0.131453291 0.0066840657 1.132892e-04
## [1095,] 0.043503071 0.2936457319 6.607029e-01
## [1096,] 0.444093854 0.2114732637 3.356718e-02
## [1097,] 0.321175019 0.4163379880 1.798991e-01
## [1098,] 0.433331375 0.1637029640 2.061445e-02
## [1099,] 0.211473264 0.4440938538 3.108657e-01
## [1100,] 0.444358195 0.2275981001 3.885821e-02
## [1101,] 0.195398778 0.4422182874 3.336033e-01
## [1102,] 0.148232688 0.4261689772 4.084119e-01
## [1103,] 0.407438488 0.3355375785 9.210835e-02
## [1104,] 0.266544426 0.0339238361 1.439193e-03
## [1105,] 0.000000000 0.0000000000 1.000000e+00
## [1106,] 0.349346279 0.3975319727 1.507880e-01
## [1107,] 0.243697761 0.4430868383 2.685375e-01
## [1108,] 0.335537578 0.4074384881 1.649156e-01
## [1109,] 0.416337988 0.3211750193 8.258786e-02
## [1110,] 0.392899701 0.1042386963 9.218388e-03
## [1111,] 0.375000000 0.3750000000 1.250000e-01
## [1112,] 0.397531973 0.3493462791 1.023338e-01
## [1113,] 0.444358195 0.2275981001 3.885821e-02
## [1114,] 0.321175019 0.4163379880 1.798991e-01
## [1115,] 0.442218287 0.1953987782 2.877966e-02
## [1116,] 0.335537578 0.4074384881 1.649156e-01
## [1117,] 0.444358195 0.2275981001 3.885821e-02
## [1118,] 0.163702964 0.4333313752 3.823512e-01
## [1119,] 0.204487093 0.0179374643 5.244873e-04
## [1120,] 0.179450170 0.4386559699 3.574234e-01
## [1121,] 0.430813836 0.2910904300 6.556091e-02
## [1122,] 0.426168977 0.1482326877 1.718640e-02
## [1123,] 0.444093854 0.2114732637 3.356718e-02
## [1124,] 0.266544426 0.0339238361 1.439193e-03
## [1125,] 0.377630828 0.0906313987 7.250512e-03
## [1126,] 0.417093250 0.1331148669 1.416116e-02
## [1127,] 0.360146521 0.0776786613 5.584740e-03
## [1128,] 0.406028666 0.1184250277 1.151354e-02
## [1129,] 0.306334128 0.4241549461 1.957638e-01
## [1130,] 0.236850055 0.0253767916 9.063140e-04
## [1131,] 0.377630828 0.0906313987 7.250512e-03
## [1132,] 0.397531973 0.3493462791 1.023338e-01
## [1133,] 0.424154946 0.3063341278 7.374710e-02
## [1134,] 0.440355309 0.2596967205 5.105149e-02
## [1135,] 0.306334128 0.4241549461 1.957638e-01
## [1136,] 0.266544426 0.0339238361 1.439193e-03
## [1137,] 0.375000000 0.3750000000 1.250000e-01
## [1138,] 0.433331375 0.1637029640 2.061445e-02
## [1139,] 0.118425028 0.4060286664 4.640328e-01
## [1140,] 0.259696720 0.4403553087 2.488965e-01
## [1141,] 0.397531973 0.3493462791 1.023338e-01
## [1142,] 0.275519452 0.4362391326 2.302373e-01
## [1143,] 0.426168977 0.1482326877 1.718640e-02
## [1144,] 0.204487093 0.0179374643 5.244873e-04
## [1145,] 0.430813836 0.2910904300 6.556091e-02
## [1146,] 0.438655970 0.1794501695 2.447048e-02
## [1147,] 0.169380014 0.0116813803 2.685375e-04
## [1148,] 0.362525595 0.3866939680 1.374912e-01
## [1149,] 0.243697761 0.4430868383 2.685375e-01
## [1150,] 0.424154946 0.3063341278 7.374710e-02
## [1151,] 0.362525595 0.3866939680 1.374912e-01
## [1152,] 0.291090430 0.4308138364 2.125348e-01
## [1153,] 0.406028666 0.1184250277 1.151354e-02
## [1154,] 0.362525595 0.3866939680 1.374912e-01
## [1155,] 0.236850055 0.0253767916 9.063140e-04
## [1156,] 0.321175019 0.4163379880 1.798991e-01
## [1157,] 0.266544426 0.0339238361 1.439193e-03
## [1158,] 0.259696720 0.4403553087 2.488965e-01
## [1159,] 0.430813836 0.2910904300 6.556091e-02
## [1160,] 0.443086838 0.2436977611 4.467792e-02
## [1161,] 0.444358195 0.2275981001 3.885821e-02
## [1162,] 0.406028666 0.1184250277 1.151354e-02
## [1163,] 0.386693968 0.3625255950 1.132892e-01
## [1164,] 0.433331375 0.1637029640 2.061445e-02
## [1165,] 0.335537578 0.4074384881 1.649156e-01
## [1166,] 0.362525595 0.3866939680 1.374912e-01
## [1167,] 0.433331375 0.1637029640 2.061445e-02
## [1168,] 0.318229499 0.0540389715 3.058810e-03
## [1169,] 0.259696720 0.4403553087 2.488965e-01
## [1170,] 0.386693968 0.3625255950 1.132892e-01
## [1171,] 0.440355309 0.2596967205 5.105149e-02
## [1172,] 0.227598100 0.4443581954 2.891855e-01
## [1173,] 0.291090430 0.4308138364 2.125348e-01
## [1174,] 0.426168977 0.1482326877 1.718640e-02
## [1175,] 0.430813836 0.2910904300 6.556091e-02
## [1176,] 0.430813836 0.2910904300 6.556091e-02
## [1177,] 0.417093250 0.1331148669 1.416116e-02
## [1178,] 0.131453291 0.0066840657 1.132892e-04
## [1179,] 0.306334128 0.4241549461 1.957638e-01
## [1180,] 0.306334128 0.4241549461 1.957638e-01
## [1181,] 0.433331375 0.1637029640 2.061445e-02
## [1182,] 0.204487093 0.0179374643 5.244873e-04
## [1183,] 0.195398778 0.4422182874 3.336033e-01
## [1184,] 0.349346279 0.3975319727 1.507880e-01
## [1185,] 0.090631399 0.0030210466 3.356718e-05
## [1186,] 0.349346279 0.3975319727 1.507880e-01
## [1187,] 0.133114867 0.4170932496 4.356307e-01
## [1188,] 0.442218287 0.1953987782 2.877966e-02
## [1189,] 0.236850055 0.0253767916 9.063140e-04
## [1190,] 0.438655970 0.1794501695 2.447048e-02
## [1191,] 0.417093250 0.1331148669 1.416116e-02
## [1192,] 0.438655970 0.1794501695 2.447048e-02
## [1193,] 0.406028666 0.1184250277 1.151354e-02
## [1194,] 0.416337988 0.3211750193 8.258786e-02
## [1195,] 0.417093250 0.1331148669 1.416116e-02
## [1196,] 0.397531973 0.3493462791 1.023338e-01
## [1197,] 0.442218287 0.1953987782 2.877966e-02
## [1198,] 0.259696720 0.4403553087 2.488965e-01
## [1199,] 0.397531973 0.3493462791 1.023338e-01
## [1200,] 0.360146521 0.0776786613 5.584740e-03
## [1201,] 0.442218287 0.1953987782 2.877966e-02
## [1202,] 0.259696720 0.4403553087 2.488965e-01
## [1203,] 0.444358195 0.2275981001 3.885821e-02
## [1204,] 0.227598100 0.4443581954 2.891855e-01
## [1205,] 0.392899701 0.1042386963 9.218388e-03
## [1206,] 0.293645732 0.0435030714 2.148300e-03
## [1207,] 0.444093854 0.2114732637 3.356718e-02
## [1208,] 0.349346279 0.3975319727 1.507880e-01
## [1209,] 0.406028666 0.1184250277 1.151354e-02
## [1210,] 0.375000000 0.3750000000 1.250000e-01
## [1211,] 0.443086838 0.2436977611 4.467792e-02
## [1212,] 0.211473264 0.4440938538 3.108657e-01
## [1213,] 0.377630828 0.0906313987 7.250512e-03
## [1214,] 0.440355309 0.2596967205 5.105149e-02
## [1215,] 0.406028666 0.1184250277 1.151354e-02
## [1216,] 0.440355309 0.2596967205 5.105149e-02
## [1217,] 0.321175019 0.4163379880 1.798991e-01
## [1218,] 0.433331375 0.1637029640 2.061445e-02
## [1219,] 0.430813836 0.2910904300 6.556091e-02
## [1220,] 0.362525595 0.3866939680 1.374912e-01
## [1221,] 0.046838810 0.0007678494 4.195898e-06
## [1222,] 0.321175019 0.4163379880 1.798991e-01
## [1223,] 0.169380014 0.0116813803 2.685375e-04
## [1224,] 0.375000000 0.3750000000 1.250000e-01
## [1225,] 0.417093250 0.1331148669 1.416116e-02
## [1226,] 0.392899701 0.1042386963 9.218388e-03
## [1227,] 0.430813836 0.2910904300 6.556091e-02
## [1228,] 0.443086838 0.2436977611 4.467792e-02
## [1229,] 0.386693968 0.3625255950 1.132892e-01
## [1230,] 0.407438488 0.3355375785 9.210835e-02
## [1231,] 0.243697761 0.4430868383 2.685375e-01
## [1232,] 0.362525595 0.3866939680 1.374912e-01
## [1233,] 0.444093854 0.2114732637 3.356718e-02
## [1234,] 0.417093250 0.1331148669 1.416116e-02
## [1235,] 0.335537578 0.4074384881 1.649156e-01
## [1236,] 0.321175019 0.4163379880 1.798991e-01
## [1237,] 0.442218287 0.1953987782 2.877966e-02
## [1238,] 0.306334128 0.4241549461 1.957638e-01
## [1239,] 0.306334128 0.4241549461 1.957638e-01
## [1240,] 0.266544426 0.0339238361 1.439193e-03
## [1241,] 0.433331375 0.1637029640 2.061445e-02
## [1242,] 0.360146521 0.0776786613 5.584740e-03
## [1243,] 0.430813836 0.2910904300 6.556091e-02
## [1244,] 0.291090430 0.4308138364 2.125348e-01
## [1245,] 0.386693968 0.3625255950 1.132892e-01
## [1246,] 0.436239133 0.2755194522 5.800410e-02
## [1247,] 0.430813836 0.2910904300 6.556091e-02
## [1248,] 0.406028666 0.1184250277 1.151354e-02
## [1249,] 0.090631399 0.0030210466 3.356718e-05
## [1250,] 0.430813836 0.2910904300 6.556091e-02
## [1251,] 0.243697761 0.4430868383 2.685375e-01
## [1252,] 0.444093854 0.2114732637 3.356718e-02
## [1253,] 0.204487093 0.0179374643 5.244873e-04
## [1254,] 0.306334128 0.4241549461 1.957638e-01
## [1255,] 0.118425028 0.4060286664 4.640328e-01
## [1256,] 0.397531973 0.3493462791 1.023338e-01
## [1257,] 0.444358195 0.2275981001 3.885821e-02
## [1258,] 0.433331375 0.1637029640 2.061445e-02
## [1259,] 0.443086838 0.2436977611 4.467792e-02
## [1260,] 0.443086838 0.2436977611 4.467792e-02
## [1261,] 0.433331375 0.1637029640 2.061445e-02
## [1262,] 0.293645732 0.0435030714 2.148300e-03
## [1263,] 0.204487093 0.0179374643 5.244873e-04
## [1264,] 0.195398778 0.4422182874 3.336033e-01
## [1265,] 0.236850055 0.0253767916 9.063140e-04
## [1266,] 0.362525595 0.3866939680 1.374912e-01
## [1267,] 0.169380014 0.0116813803 2.685375e-04
## [1268,] 0.179450170 0.4386559699 3.574234e-01
## [1269,] 0.440355309 0.2596967205 5.105149e-02
## [1270,] 0.306334128 0.4241549461 1.957638e-01
## [1271,] 0.360146521 0.0776786613 5.584740e-03
## [1272,] 0.444358195 0.2275981001 3.885821e-02
## [1273,] 0.054038972 0.3182294988 6.246727e-01
## [1274,] 0.169380014 0.0116813803 2.685375e-04
## [1275,] 0.386693968 0.3625255950 1.132892e-01
## [1276,] 0.433331375 0.1637029640 2.061445e-02
## [1277,] 0.407438488 0.3355375785 9.210835e-02
## [1278,] 0.291090430 0.4308138364 2.125348e-01
## [1279,] 0.438655970 0.1794501695 2.447048e-02
## [1280,] 0.131453291 0.0066840657 1.132892e-04
## [1281,] 0.440355309 0.2596967205 5.105149e-02
## [1282,] 0.406028666 0.1184250277 1.151354e-02
## [1283,] 0.438655970 0.1794501695 2.447048e-02
## [1284,] 0.340371253 0.0654560102 4.195898e-03
## [1285,] 0.440355309 0.2596967205 5.105149e-02
## [1286,] 0.291090430 0.4308138364 2.125348e-01
## [1287,] 0.424154946 0.3063341278 7.374710e-02
## [1288,] 0.440355309 0.2596967205 5.105149e-02
## [1289,] 0.259696720 0.4403553087 2.488965e-01
## [1290,] 0.291090430 0.4308138364 2.125348e-01
## [1291,] 0.438655970 0.1794501695 2.447048e-02
## [1292,] 0.430813836 0.2910904300 6.556091e-02
## [1293,] 0.318229499 0.0540389715 3.058810e-03
## [1294,] 0.406028666 0.1184250277 1.151354e-02
## [1295,] 0.444093854 0.2114732637 3.356718e-02
## [1296,] 0.340371253 0.0654560102 4.195898e-03
## [1297,] 0.436239133 0.2755194522 5.800410e-02
## [1298,] 0.349346279 0.3975319727 1.507880e-01
## [1299,] 0.291090430 0.4308138364 2.125348e-01
## [1300,] 0.444358195 0.2275981001 3.885821e-02
## [1301,] 0.436239133 0.2755194522 5.800410e-02
## [1302,] 0.204487093 0.0179374643 5.244873e-04
## [1303,] 0.443086838 0.2436977611 4.467792e-02
## [1304,] 0.443086838 0.2436977611 4.467792e-02
## [1305,] 0.349346279 0.3975319727 1.507880e-01
## [1306,] 0.011681380 0.1693800141 8.186701e-01
## [1307,] 0.318229499 0.0540389715 3.058810e-03
## [1308,] 0.266544426 0.0339238361 1.439193e-03
## [1309,] 0.318229499 0.0540389715 3.058810e-03
## [1310,] 0.417093250 0.1331148669 1.416116e-02
## [1311,] 0.349346279 0.3975319727 1.507880e-01
## [1312,] 0.169380014 0.0116813803 2.685375e-04
## [1313,] 0.397531973 0.3493462791 1.023338e-01
## [1314,] 0.426168977 0.1482326877 1.718640e-02
## [1315,] 0.397531973 0.3493462791 1.023338e-01
## [1316,] 0.392899701 0.1042386963 9.218388e-03
## [1317,] 0.397531973 0.3493462791 1.023338e-01
## [1318,] 0.375000000 0.3750000000 1.250000e-01
## [1319,] 0.443086838 0.2436977611 4.467792e-02
## [1320,] 0.349346279 0.3975319727 1.507880e-01
## [1321,] 0.392899701 0.1042386963 9.218388e-03
## [1322,] 0.386693968 0.3625255950 1.132892e-01
## [1323,] 0.275519452 0.4362391326 2.302373e-01
## [1324,] 0.407438488 0.3355375785 9.210835e-02
## [1325,] 0.321175019 0.4163379880 1.798991e-01
## [1326,] 0.406028666 0.1184250277 1.151354e-02
## [1327,] 0.291090430 0.4308138364 2.125348e-01
## [1328,] 0.433331375 0.1637029640 2.061445e-02
## [1329,] 0.417093250 0.1331148669 1.416116e-02
## [1330,] 0.417093250 0.1331148669 1.416116e-02
## [1331,] 0.440355309 0.2596967205 5.105149e-02
## [1332,] 0.436239133 0.2755194522 5.800410e-02
## [1333,] 0.243697761 0.4430868383 2.685375e-01
## [1334,] 0.416337988 0.3211750193 8.258786e-02
## [1335,] 0.397531973 0.3493462791 1.023338e-01
## [1336,] 0.426168977 0.1482326877 1.718640e-02
## [1337,] 0.430813836 0.2910904300 6.556091e-02
## [1338,] 0.243697761 0.4430868383 2.685375e-01
## [1339,] 0.424154946 0.3063341278 7.374710e-02
## [1340,] 0.438655970 0.1794501695 2.447048e-02
## [1341,] 0.397531973 0.3493462791 1.023338e-01
## [1342,] 0.275519452 0.4362391326 2.302373e-01
## [1343,] 0.444093854 0.2114732637 3.356718e-02
## [1344,] 0.424154946 0.3063341278 7.374710e-02
## [1345,] 0.275519452 0.4362391326 2.302373e-01
## [1346,] 0.349346279 0.3975319727 1.507880e-01
## [1347,] 0.440355309 0.2596967205 5.105149e-02
## [1348,] 0.335537578 0.4074384881 1.649156e-01
## [1349,] 0.318229499 0.0540389715 3.058810e-03
## [1350,] 0.335537578 0.4074384881 1.649156e-01
## [1351,] 0.349346279 0.3975319727 1.507880e-01
## [1352,] 0.349346279 0.3975319727 1.507880e-01
## [1353,] 0.340371253 0.0654560102 4.195898e-03
## [1354,] 0.375000000 0.3750000000 1.250000e-01
## [1355,] 0.195398778 0.4422182874 3.336033e-01
## [1356,] 0.204487093 0.0179374643 5.244873e-04
## [1357,] 0.321175019 0.4163379880 1.798991e-01
## [1358,] 0.291090430 0.4308138364 2.125348e-01
## [1359,] 0.386693968 0.3625255950 1.132892e-01
## [1360,] 0.362525595 0.3866939680 1.374912e-01
## [1361,] 0.375000000 0.3750000000 1.250000e-01
## [1362,] 0.375000000 0.3750000000 1.250000e-01
## [1363,] 0.430813836 0.2910904300 6.556091e-02
## [1364,] 0.407438488 0.3355375785 9.210835e-02
## [1365,] 0.386693968 0.3625255950 1.132892e-01
## [1366,] 0.046838810 0.0007678494 4.195898e-06
## [1367,] 0.275519452 0.4362391326 2.302373e-01
## [1368,] 0.424154946 0.3063341278 7.374710e-02
## [1369,] 0.436239133 0.2755194522 5.800410e-02
## [1370,] 0.406028666 0.1184250277 1.151354e-02
## [1371,] 0.406028666 0.1184250277 1.151354e-02
## [1372,] 0.430813836 0.2910904300 6.556091e-02
## [1373,] 0.259696720 0.4403553087 2.488965e-01
## [1374,] 0.104238696 0.3928997013 4.936432e-01
## [1375,] 0.392899701 0.1042386963 9.218388e-03
## [1376,] 0.375000000 0.3750000000 1.250000e-01
## [1377,] 0.440355309 0.2596967205 5.105149e-02
## [1378,] 0.433331375 0.1637029640 2.061445e-02
## [1379,] 0.417093250 0.1331148669 1.416116e-02
## [1380,] 0.321175019 0.4163379880 1.798991e-01
## [1381,] 0.430813836 0.2910904300 6.556091e-02
## [1382,] 0.438655970 0.1794501695 2.447048e-02
## [1383,] 0.444093854 0.2114732637 3.356718e-02
## [1384,] 0.243697761 0.4430868383 2.685375e-01
## [1385,] 0.416337988 0.3211750193 8.258786e-02
## [1386,] 0.426168977 0.1482326877 1.718640e-02
## [1387,] 0.131453291 0.0066840657 1.132892e-04
## [1388,] 0.444358195 0.2275981001 3.885821e-02
## [1389,] 0.340371253 0.0654560102 4.195898e-03
## [1390,] 0.306334128 0.4241549461 1.957638e-01
## [1391,] 0.236850055 0.0253767916 9.063140e-04
## [1392,] 0.392899701 0.1042386963 9.218388e-03
## [1393,] 0.424154946 0.3063341278 7.374710e-02
## [1394,] 0.377630828 0.0906313987 7.250512e-03
## [1395,] 0.440355309 0.2596967205 5.105149e-02
## [1396,] 0.293645732 0.0435030714 2.148300e-03
## [1397,] 0.406028666 0.1184250277 1.151354e-02
## [1398,] 0.436239133 0.2755194522 5.800410e-02
## [1399,] 0.424154946 0.3063341278 7.374710e-02
## [1400,] 0.377630828 0.0906313987 7.250512e-03
## [1401,] 0.243697761 0.4430868383 2.685375e-01
## [1402,] 0.417093250 0.1331148669 1.416116e-02
## [1403,] 0.340371253 0.0654560102 4.195898e-03
## [1404,] 0.430813836 0.2910904300 6.556091e-02
## [1405,] 0.375000000 0.3750000000 1.250000e-01
## [1406,] 0.438655970 0.1794501695 2.447048e-02
## [1407,] 0.397531973 0.3493462791 1.023338e-01
## [1408,] 0.426168977 0.1482326877 1.718640e-02
## [1409,] 0.179450170 0.4386559699 3.574234e-01
## [1410,] 0.424154946 0.3063341278 7.374710e-02
## [1411,] 0.386693968 0.3625255950 1.132892e-01
## [1412,] 0.275519452 0.4362391326 2.302373e-01
## [1413,] 0.362525595 0.3866939680 1.374912e-01
## [1414,] 0.377630828 0.0906313987 7.250512e-03
## [1415,] 0.426168977 0.1482326877 1.718640e-02
## [1416,] 0.349346279 0.3975319727 1.507880e-01
## [1417,] 0.321175019 0.4163379880 1.798991e-01
## [1418,] 0.443086838 0.2436977611 4.467792e-02
## [1419,] 0.426168977 0.1482326877 1.718640e-02
## [1420,] 0.438655970 0.1794501695 2.447048e-02
## [1421,] 0.306334128 0.4241549461 1.957638e-01
## [1422,] 0.179450170 0.4386559699 3.574234e-01
## [1423,] 0.417093250 0.1331148669 1.416116e-02
## [1424,] 0.424154946 0.3063341278 7.374710e-02
## [1425,] 0.000000000 0.0000000000 1.000000e+00
## [1426,] 0.349346279 0.3975319727 1.507880e-01
## [1427,] 0.211473264 0.4440938538 3.108657e-01
## [1428,] 0.417093250 0.1331148669 1.416116e-02
## [1429,] 0.340371253 0.0654560102 4.195898e-03
## [1430,] 0.275519452 0.4362391326 2.302373e-01
## [1431,] 0.275519452 0.4362391326 2.302373e-01
## [1432,] 0.426168977 0.1482326877 1.718640e-02
## [1433,] 0.416337988 0.3211750193 8.258786e-02
## [1434,] 0.275519452 0.4362391326 2.302373e-01
## [1435,] 0.340371253 0.0654560102 4.195898e-03
## [1436,] 0.442218287 0.1953987782 2.877966e-02
## [1437,] 0.275519452 0.4362391326 2.302373e-01
## [1438,] 0.169380014 0.0116813803 2.685375e-04
## [1439,] 0.211473264 0.4440938538 3.108657e-01
## [1440,] 0.377630828 0.0906313987 7.250512e-03
## [1441,] 0.362525595 0.3866939680 1.374912e-01
## [1442,] 0.444093854 0.2114732637 3.356718e-02
## [1443,] 0.291090430 0.4308138364 2.125348e-01
## [1444,] 0.444358195 0.2275981001 3.885821e-02
## [1445,] 0.436239133 0.2755194522 5.800410e-02
## [1446,] 0.054038972 0.3182294988 6.246727e-01
## [1447,] 0.375000000 0.3750000000 1.250000e-01
## [1448,] 0.416337988 0.3211750193 8.258786e-02
## [1449,] 0.440355309 0.2596967205 5.105149e-02
## [1450,] 0.417093250 0.1331148669 1.416116e-02
## [1451,] 0.397531973 0.3493462791 1.023338e-01
## [1452,] 0.204487093 0.0179374643 5.244873e-04
## [1453,] 0.406028666 0.1184250277 1.151354e-02
## [1454,] 0.377630828 0.0906313987 7.250512e-03
## [1455,] 0.306334128 0.4241549461 1.957638e-01
## [1456,] 0.335537578 0.4074384881 1.649156e-01
## [1457,] 0.377630828 0.0906313987 7.250512e-03
## [1458,] 0.406028666 0.1184250277 1.151354e-02
## [1459,] 0.321175019 0.4163379880 1.798991e-01
## [1460,] 0.392899701 0.1042386963 9.218388e-03
## [1461,] 0.362525595 0.3866939680 1.374912e-01
## [1462,] 0.440355309 0.2596967205 5.105149e-02
## [1463,] 0.397531973 0.3493462791 1.023338e-01
## [1464,] 0.442218287 0.1953987782 2.877966e-02
## [1465,] 0.236850055 0.0253767916 9.063140e-04
## [1466,] 0.321175019 0.4163379880 1.798991e-01
## [1467,] 0.444358195 0.2275981001 3.885821e-02
## [1468,] 0.397531973 0.3493462791 1.023338e-01
## [1469,] 0.438655970 0.1794501695 2.447048e-02
## [1470,] 0.211473264 0.4440938538 3.108657e-01
## [1471,] 0.430813836 0.2910904300 6.556091e-02
## [1472,] 0.090631399 0.0030210466 3.356718e-05
## [1473,] 0.318229499 0.0540389715 3.058810e-03
## [1474,] 0.362525595 0.3866939680 1.374912e-01
## [1475,] 0.275519452 0.4362391326 2.302373e-01
## [1476,] 0.046838810 0.0007678494 4.195898e-06
## [1477,] 0.433331375 0.1637029640 2.061445e-02
## [1478,] 0.416337988 0.3211750193 8.258786e-02
## [1479,] 0.306334128 0.4241549461 1.957638e-01
## [1480,] 0.436239133 0.2755194522 5.800410e-02
## [1481,] 0.349346279 0.3975319727 1.507880e-01
## [1482,] 0.386693968 0.3625255950 1.132892e-01
## [1483,] 0.362525595 0.3866939680 1.374912e-01
## [1484,] 0.442218287 0.1953987782 2.877966e-02
## [1485,] 0.444093854 0.2114732637 3.356718e-02
## [1486,] 0.440355309 0.2596967205 5.105149e-02
## [1487,] 0.349346279 0.3975319727 1.507880e-01
## [1488,] 0.349346279 0.3975319727 1.507880e-01
## [1489,] 0.430813836 0.2910904300 6.556091e-02
## [1490,] 0.426168977 0.1482326877 1.718640e-02
## [1491,] 0.430813836 0.2910904300 6.556091e-02
## [1492,] 0.227598100 0.4443581954 2.891855e-01
## [1493,] 0.195398778 0.4422182874 3.336033e-01
## [1494,] 0.375000000 0.3750000000 1.250000e-01
## [1495,] 0.306334128 0.4241549461 1.957638e-01
## [1496,] 0.440355309 0.2596967205 5.105149e-02
## [1497,] 0.360146521 0.0776786613 5.584740e-03
## [1498,] 0.118425028 0.4060286664 4.640328e-01
## [1499,] 0.426168977 0.1482326877 1.718640e-02
## [1500,] 0.440355309 0.2596967205 5.105149e-02
## [1501,] 0.293645732 0.0435030714 2.148300e-03
## [1502,] 0.306334128 0.4241549461 1.957638e-01
## [1503,] 0.424154946 0.3063341278 7.374710e-02
## [1504,] 0.321175019 0.4163379880 1.798991e-01
## [1505,] 0.306334128 0.4241549461 1.957638e-01
## [1506,] 0.179450170 0.4386559699 3.574234e-01
## [1507,] 0.443086838 0.2436977611 4.467792e-02
## [1508,] 0.444358195 0.2275981001 3.885821e-02
## [1509,] 0.291090430 0.4308138364 2.125348e-01
## [1510,] 0.259696720 0.4403553087 2.488965e-01
## [1511,] 0.416337988 0.3211750193 8.258786e-02
## [1512,] 0.340371253 0.0654560102 4.195898e-03
## [1513,] 0.243697761 0.4430868383 2.685375e-01
## [1514,] 0.335537578 0.4074384881 1.649156e-01
## [1515,] 0.392899701 0.1042386963 9.218388e-03
## [1516,] 0.163702964 0.4333313752 3.823512e-01
## [1517,] 0.436239133 0.2755194522 5.800410e-02
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## [1521,] 0.259696720 0.4403553087 2.488965e-01
## [1522,] 0.407438488 0.3355375785 9.210835e-02
## [1523,] 0.131453291 0.0066840657 1.132892e-04
## [1524,] 0.426168977 0.1482326877 1.718640e-02
## [1525,] 0.444358195 0.2275981001 3.885821e-02
## [1526,] 0.436239133 0.2755194522 5.800410e-02
## [1527,] 0.000000000 0.0000000000 1.000000e+00
## [1528,] 0.392899701 0.1042386963 9.218388e-03
## [1529,] 0.440355309 0.2596967205 5.105149e-02
## [1530,] 0.442218287 0.1953987782 2.877966e-02
## [1531,] 0.430813836 0.2910904300 6.556091e-02
## [1532,] 0.306334128 0.4241549461 1.957638e-01
## [1533,] 0.416337988 0.3211750193 8.258786e-02
## [1534,] 0.227598100 0.4443581954 2.891855e-01
## [1535,] 0.360146521 0.0776786613 5.584740e-03
## [1536,] 0.360146521 0.0776786613 5.584740e-03
## [1537,] 0.416337988 0.3211750193 8.258786e-02
## [1538,] 0.163702964 0.4333313752 3.823512e-01
## [1539,] 0.275519452 0.4362391326 2.302373e-01
## [1540,] 0.444358195 0.2275981001 3.885821e-02
## [1541,] 0.436239133 0.2755194522 5.800410e-02
## [1542,] 0.397531973 0.3493462791 1.023338e-01
## [1543,] 0.430813836 0.2910904300 6.556091e-02
## [1544,] 0.436239133 0.2755194522 5.800410e-02
## [1545,] 0.362525595 0.3866939680 1.374912e-01
## [1546,] 0.444358195 0.2275981001 3.885821e-02
## [1547,] 0.362525595 0.3866939680 1.374912e-01
## [1548,] 0.211473264 0.4440938538 3.108657e-01
## [1549,] 0.259696720 0.4403553087 2.488965e-01
## [1550,] 0.375000000 0.3750000000 1.250000e-01
## [1551,] 0.417093250 0.1331148669 1.416116e-02
## [1552,] 0.227598100 0.4443581954 2.891855e-01
## [1553,] 0.440355309 0.2596967205 5.105149e-02
## [1554,] 0.417093250 0.1331148669 1.416116e-02
## [1555,] 0.340371253 0.0654560102 4.195898e-03
## [1556,] 0.375000000 0.3750000000 1.250000e-01
## [1557,] 0.349346279 0.3975319727 1.507880e-01
## [1558,] 0.169380014 0.0116813803 2.685375e-04
## [1559,] 0.397531973 0.3493462791 1.023338e-01
## [1560,] 0.227598100 0.4443581954 2.891855e-01
## [1561,] 0.440355309 0.2596967205 5.105149e-02
## [1562,] 0.406028666 0.1184250277 1.151354e-02
## [1563,] 0.444358195 0.2275981001 3.885821e-02
## [1564,] 0.148232688 0.4261689772 4.084119e-01
## [1565,] 0.438655970 0.1794501695 2.447048e-02
## [1566,] 0.195398778 0.4422182874 3.336033e-01
## [1567,] 0.426168977 0.1482326877 1.718640e-02
## [1568,] 0.335537578 0.4074384881 1.649156e-01
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## [1570,] 0.426168977 0.1482326877 1.718640e-02
## [1571,] 0.444358195 0.2275981001 3.885821e-02
## [1572,] 0.227598100 0.4443581954 2.891855e-01
## [1573,] 0.375000000 0.3750000000 1.250000e-01
## [1574,] 0.443086838 0.2436977611 4.467792e-02
## [1575,] 0.375000000 0.3750000000 1.250000e-01
## [1576,] 0.227598100 0.4443581954 2.891855e-01
## [1577,] 0.444358195 0.2275981001 3.885821e-02
## [1578,] 0.163702964 0.4333313752 3.823512e-01
## [1579,] 0.266544426 0.0339238361 1.439193e-03
## [1580,] 0.321175019 0.4163379880 1.798991e-01
## [1581,] 0.204487093 0.0179374643 5.244873e-04
## [1582,] 0.438655970 0.1794501695 2.447048e-02
## [1583,] 0.046838810 0.0007678494 4.195898e-06
## [1584,] 0.430813836 0.2910904300 6.556091e-02
## [1585,] 0.443086838 0.2436977611 4.467792e-02
## [1586,] 0.444093854 0.2114732637 3.356718e-02
## [1587,] 0.163702964 0.4333313752 3.823512e-01
## [1588,] 0.416337988 0.3211750193 8.258786e-02
## [1589,] 0.406028666 0.1184250277 1.151354e-02
## [1590,] 0.442218287 0.1953987782 2.877966e-02
## [1591,] 0.442218287 0.1953987782 2.877966e-02
## [1592,] 0.416337988 0.3211750193 8.258786e-02
## [1593,] 0.424154946 0.3063341278 7.374710e-02
## [1594,] 0.444358195 0.2275981001 3.885821e-02
## [1595,] 0.417093250 0.1331148669 1.416116e-02
## [1596,] 0.433331375 0.1637029640 2.061445e-02
## [1597,] 0.163702964 0.4333313752 3.823512e-01
## [1598,] 0.416337988 0.3211750193 8.258786e-02
## [1599,] 0.440355309 0.2596967205 5.105149e-02
## [1600,] 0.416337988 0.3211750193 8.258786e-02
## [1601,] 0.433331375 0.1637029640 2.061445e-02
## [1602,] 0.335537578 0.4074384881 1.649156e-01
## [1603,] 0.443086838 0.2436977611 4.467792e-02
## [1604,] 0.440355309 0.2596967205 5.105149e-02
## [1605,] 0.386693968 0.3625255950 1.132892e-01
## [1606,] 0.291090430 0.4308138364 2.125348e-01
## [1607,] 0.148232688 0.4261689772 4.084119e-01
## [1608,] 0.360146521 0.0776786613 5.584740e-03
## [1609,] 0.440355309 0.2596967205 5.105149e-02
## [1610,] 0.243697761 0.4430868383 2.685375e-01
## [1611,] 0.426168977 0.1482326877 1.718640e-02
## [1612,] 0.430813836 0.2910904300 6.556091e-02
## [1613,] 0.407438488 0.3355375785 9.210835e-02
## [1614,] 0.397531973 0.3493462791 1.023338e-01
## [1615,] 0.416337988 0.3211750193 8.258786e-02
## [1616,] 0.426168977 0.1482326877 1.718640e-02
## [1617,] 0.406028666 0.1184250277 1.151354e-02
## [1618,] 0.291090430 0.4308138364 2.125348e-01
## [1619,] 0.169380014 0.0116813803 2.685375e-04
## [1620,] 0.426168977 0.1482326877 1.718640e-02
## [1621,] 0.386693968 0.3625255950 1.132892e-01
## [1622,] 0.375000000 0.3750000000 1.250000e-01
## [1623,] 0.397531973 0.3493462791 1.023338e-01
## [1624,] 0.433331375 0.1637029640 2.061445e-02
## [1625,] 0.362525595 0.3866939680 1.374912e-01
## [1626,] 0.291090430 0.4308138364 2.125348e-01
## [1627,] 0.416337988 0.3211750193 8.258786e-02
## [1628,] 0.443086838 0.2436977611 4.467792e-02
## [1629,] 0.397531973 0.3493462791 1.023338e-01
## [1630,] 0.436239133 0.2755194522 5.800410e-02
## [1631,] 0.386693968 0.3625255950 1.132892e-01
## [1632,] 0.375000000 0.3750000000 1.250000e-01
## [1633,] 0.349346279 0.3975319727 1.507880e-01
## [1634,] 0.243697761 0.4430868383 2.685375e-01
## [1635,] 0.406028666 0.1184250277 1.151354e-02
## [1636,] 0.291090430 0.4308138364 2.125348e-01
## [1637,] 0.266544426 0.0339238361 1.439193e-03
## [1638,] 0.033923836 0.2665444262 6.980925e-01
## [1639,] 0.000000000 0.0000000000 0.000000e+00
## [1640,] 0.335537578 0.4074384881 1.649156e-01
## [1641,] 0.349346279 0.3975319727 1.507880e-01
## [1642,] 0.424154946 0.3063341278 7.374710e-02
## [1643,] 0.360146521 0.0776786613 5.584740e-03
## [1644,] 0.386693968 0.3625255950 1.132892e-01
## [1645,] 0.179450170 0.4386559699 3.574234e-01
## [1646,] 0.236850055 0.0253767916 9.063140e-04
## [1647,] 0.386693968 0.3625255950 1.132892e-01
## [1648,] 0.306334128 0.4241549461 1.957638e-01
## [1649,] 0.386693968 0.3625255950 1.132892e-01
## [1650,] 0.033923836 0.2665444262 6.980925e-01
## [1651,] 0.377630828 0.0906313987 7.250512e-03
## [1652,] 0.386693968 0.3625255950 1.132892e-01
## [1653,] 0.360146521 0.0776786613 5.584740e-03
## [1654,] 0.443086838 0.2436977611 4.467792e-02
## [1655,] 0.335537578 0.4074384881 1.649156e-01
## [1656,] 0.407438488 0.3355375785 9.210835e-02
## [1657,] 0.424154946 0.3063341278 7.374710e-02
## [1658,] 0.443086838 0.2436977611 4.467792e-02
## [1659,] 0.392899701 0.1042386963 9.218388e-03
## [1660,] 0.046838810 0.0007678494 4.195898e-06
## [1661,] 0.430813836 0.2910904300 6.556091e-02
## [1662,] 0.275519452 0.4362391326 2.302373e-01
## [1663,] 0.291090430 0.4308138364 2.125348e-01
## [1664,] 0.436239133 0.2755194522 5.800410e-02
## [1665,] 0.318229499 0.0540389715 3.058810e-03
## [1666,] 0.426168977 0.1482326877 1.718640e-02
## [1667,] 0.397531973 0.3493462791 1.023338e-01
## [1668,] 0.417093250 0.1331148669 1.416116e-02
## [1669,] 0.433331375 0.1637029640 2.061445e-02
## [1670,] 0.443086838 0.2436977611 4.467792e-02
## [1671,] 0.397531973 0.3493462791 1.023338e-01
## [1672,] 0.416337988 0.3211750193 8.258786e-02
## [1673,] 0.306334128 0.4241549461 1.957638e-01
## [1674,] 0.440355309 0.2596967205 5.105149e-02
## [1675,] 0.407438488 0.3355375785 9.210835e-02
## [1676,] 0.424154946 0.3063341278 7.374710e-02
## [1677,] 0.424154946 0.3063341278 7.374710e-02
## [1678,] 0.407438488 0.3355375785 9.210835e-02
## [1679,] 0.444093854 0.2114732637 3.356718e-02
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## [1688,] 0.275519452 0.4362391326 2.302373e-01
## [1689,] 0.375000000 0.3750000000 1.250000e-01
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## [1691,] 0.386693968 0.3625255950 1.132892e-01
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## [1693,] 0.406028666 0.1184250277 1.151354e-02
## [1694,] 0.377630828 0.0906313987 7.250512e-03
## [1695,] 0.417093250 0.1331148669 1.416116e-02
## [1696,] 0.275519452 0.4362391326 2.302373e-01
## [1697,] 0.407438488 0.3355375785 9.210835e-02
## [1698,] 0.375000000 0.3750000000 1.250000e-01
## [1699,] 0.442218287 0.1953987782 2.877966e-02
## [1700,] 0.321175019 0.4163379880 1.798991e-01
## [1701,] 0.275519452 0.4362391326 2.302373e-01
## [1702,] 0.275519452 0.4362391326 2.302373e-01
## [1703,] 0.386693968 0.3625255950 1.132892e-01
## [1704,] 0.397531973 0.3493462791 1.023338e-01
## [1705,] 0.335537578 0.4074384881 1.649156e-01
## [1706,] 0.443086838 0.2436977611 4.467792e-02
## [1707,] 0.433331375 0.1637029640 2.061445e-02
## [1708,] 0.443086838 0.2436977611 4.467792e-02
## [1709,] 0.169380014 0.0116813803 2.685375e-04
## [1710,] 0.386693968 0.3625255950 1.132892e-01
## [1711,] 0.443086838 0.2436977611 4.467792e-02
## [1712,] 0.416337988 0.3211750193 8.258786e-02
## [1713,] 0.377630828 0.0906313987 7.250512e-03
## [1714,] 0.407438488 0.3355375785 9.210835e-02
## [1715,] 0.406028666 0.1184250277 1.151354e-02
## [1716,] 0.321175019 0.4163379880 1.798991e-01
## [1717,] 0.406028666 0.1184250277 1.151354e-02
## [1718,] 0.444358195 0.2275981001 3.885821e-02
## [1719,] 0.349346279 0.3975319727 1.507880e-01
## [1720,] 0.443086838 0.2436977611 4.467792e-02
## [1721,] 0.118425028 0.4060286664 4.640328e-01
## [1722,] 0.443086838 0.2436977611 4.467792e-02
## [1723,] 0.335537578 0.4074384881 1.649156e-01
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## [1725,] 0.416337988 0.3211750193 8.258786e-02
## [1726,] 0.442218287 0.1953987782 2.877966e-02
## [1727,] 0.375000000 0.3750000000 1.250000e-01
## [1728,] 0.321175019 0.4163379880 1.798991e-01
## [1729,] 0.118425028 0.4060286664 4.640328e-01
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## [1731,] 0.306334128 0.4241549461 1.957638e-01
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## [1733,] 0.179450170 0.4386559699 3.574234e-01
## [1734,] 0.163702964 0.4333313752 3.823512e-01
## [1735,] 0.293645732 0.0435030714 2.148300e-03
## [1736,] 0.416337988 0.3211750193 8.258786e-02
## [1737,] 0.204487093 0.0179374643 5.244873e-04
## [1738,] 0.392899701 0.1042386963 9.218388e-03
## [1739,] 0.430813836 0.2910904300 6.556091e-02
## [1740,] 0.386693968 0.3625255950 1.132892e-01
## [1741,] 0.291090430 0.4308138364 2.125348e-01
## [1742,] 0.386693968 0.3625255950 1.132892e-01
## [1743,] 0.163702964 0.4333313752 3.823512e-01
## [1744,] 0.259696720 0.4403553087 2.488965e-01
## [1745,] 0.077678661 0.3601465208 5.565901e-01
## [1746,] 0.392899701 0.1042386963 9.218388e-03
## [1747,] 0.444093854 0.2114732637 3.356718e-02
## [1748,] 0.424154946 0.3063341278 7.374710e-02
## [1749,] 0.392899701 0.1042386963 9.218388e-03
## [1750,] 0.375000000 0.3750000000 1.250000e-01
## [1751,] 0.293645732 0.0435030714 2.148300e-03
## [1752,] 0.377630828 0.0906313987 7.250512e-03
## [1753,] 0.443086838 0.2436977611 4.467792e-02
## [1754,] 0.424154946 0.3063341278 7.374710e-02
## [1755,] 0.133114867 0.4170932496 4.356307e-01
## [1756,] 0.306334128 0.4241549461 1.957638e-01
## [1757,] 0.275519452 0.4362391326 2.302373e-01
## [1758,] 0.442218287 0.1953987782 2.877966e-02
## [1759,] 0.407438488 0.3355375785 9.210835e-02
## [1760,] 0.442218287 0.1953987782 2.877966e-02
## [1761,] 0.243697761 0.4430868383 2.685375e-01
## [1762,] 0.349346279 0.3975319727 1.507880e-01
## [1763,] 0.436239133 0.2755194522 5.800410e-02
## [1764,] 0.407438488 0.3355375785 9.210835e-02
## [1765,] 0.430813836 0.2910904300 6.556091e-02
## [1766,] 0.397531973 0.3493462791 1.023338e-01
## [1767,] 0.424154946 0.3063341278 7.374710e-02
## [1768,] 0.438655970 0.1794501695 2.447048e-02
## [1769,] 0.360146521 0.0776786613 5.584740e-03
## [1770,] 0.090631399 0.0030210466 3.356718e-05
## [1771,] 0.406028666 0.1184250277 1.151354e-02
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## [1777,] 0.442218287 0.1953987782 2.877966e-02
## [1778,] 0.377630828 0.0906313987 7.250512e-03
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## [1780,] 0.424154946 0.3063341278 7.374710e-02
## [1781,] 0.386693968 0.3625255950 1.132892e-01
## [1782,] 0.321175019 0.4163379880 1.798991e-01
## [1783,] 0.436239133 0.2755194522 5.800410e-02
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## [1788,] 0.259696720 0.4403553087 2.488965e-01
## [1789,] 0.362525595 0.3866939680 1.374912e-01
## [1790,] 0.204487093 0.0179374643 5.244873e-04
## [1791,] 0.195398778 0.4422182874 3.336033e-01
## [1792,] 0.065456010 0.3403712531 5.899768e-01
## [1793,] 0.227598100 0.4443581954 2.891855e-01
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## [1799,] 0.349346279 0.3975319727 1.507880e-01
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## [1802,] 0.306334128 0.4241549461 1.957638e-01
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## [1806,] 0.436239133 0.2755194522 5.800410e-02
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## [1809,] 0.440355309 0.2596967205 5.105149e-02
## [1810,] 0.169380014 0.0116813803 2.685375e-04
## [1811,] 0.444358195 0.2275981001 3.885821e-02
## [1812,] 0.375000000 0.3750000000 1.250000e-01
## [1813,] 0.436239133 0.2755194522 5.800410e-02
## [1814,] 0.291090430 0.4308138364 2.125348e-01
## [1815,] 0.397531973 0.3493462791 1.023338e-01
## [1816,] 0.377630828 0.0906313987 7.250512e-03
## [1817,] 0.275519452 0.4362391326 2.302373e-01
## [1818,] 0.430813836 0.2910904300 6.556091e-02
## [1819,] 0.433331375 0.1637029640 2.061445e-02
## [1820,] 0.243697761 0.4430868383 2.685375e-01
## [1821,] 0.077678661 0.3601465208 5.565901e-01
## [1822,] 0.090631399 0.3776308281 5.244873e-01
## [1823,] 0.335537578 0.4074384881 1.649156e-01
## [1824,] 0.118425028 0.4060286664 4.640328e-01
## [1825,] 0.377630828 0.0906313987 7.250512e-03
## [1826,] 0.430813836 0.2910904300 6.556091e-02
## [1827,] 0.306334128 0.4241549461 1.957638e-01
## [1828,] 0.442218287 0.1953987782 2.877966e-02
## [1829,] 0.407438488 0.3355375785 9.210835e-02
## [1830,] 0.321175019 0.4163379880 1.798991e-01
## [1831,] 0.392899701 0.1042386963 9.218388e-03
## [1832,] 0.000000000 0.0000000000 0.000000e+00
## [1833,] 0.375000000 0.3750000000 1.250000e-01
## [1834,] 0.443086838 0.2436977611 4.467792e-02
## [1835,] 0.433331375 0.1637029640 2.061445e-02
## [1836,] 0.407438488 0.3355375785 9.210835e-02
## [1837,] 0.443086838 0.2436977611 4.467792e-02
## [1838,] 0.444358195 0.2275981001 3.885821e-02
## [1839,] 0.436239133 0.2755194522 5.800410e-02
## [1840,] 0.442218287 0.1953987782 2.877966e-02
## [1841,] 0.243697761 0.4430868383 2.685375e-01
## [1842,] 0.443086838 0.2436977611 4.467792e-02
## [1843,] 0.318229499 0.0540389715 3.058810e-03
## [1844,] 0.392899701 0.1042386963 9.218388e-03
## [1845,] 0.424154946 0.3063341278 7.374710e-02
## [1846,] 0.444093854 0.2114732637 3.356718e-02
## [1847,] 0.426168977 0.1482326877 1.718640e-02
## [1848,] 0.440355309 0.2596967205 5.105149e-02
## [1849,] 0.090631399 0.0030210466 3.356718e-05
## [1850,] 0.444093854 0.2114732637 3.356718e-02
## [1851,] 0.430813836 0.2910904300 6.556091e-02
## [1852,] 0.362525595 0.3866939680 1.374912e-01
## [1853,] 0.291090430 0.4308138364 2.125348e-01
## [1854,] 0.236850055 0.0253767916 9.063140e-04
## [1855,] 0.440355309 0.2596967205 5.105149e-02
## [1856,] 0.442218287 0.1953987782 2.877966e-02
## [1857,] 0.436239133 0.2755194522 5.800410e-02
## [1858,] 0.266544426 0.0339238361 1.439193e-03
## [1859,] 0.416337988 0.3211750193 8.258786e-02
## [1860,] 0.443086838 0.2436977611 4.467792e-02
## [1861,] 0.430813836 0.2910904300 6.556091e-02
## [1862,] 0.362525595 0.3866939680 1.374912e-01
## [1863,] 0.436239133 0.2755194522 5.800410e-02
## [1864,] 0.046838810 0.0007678494 4.195898e-06
## [1865,] 0.424154946 0.3063341278 7.374710e-02
## [1866,] 0.293645732 0.0435030714 2.148300e-03
## [1867,] 0.306334128 0.4241549461 1.957638e-01
## [1868,] 0.406028666 0.1184250277 1.151354e-02
## [1869,] 0.375000000 0.3750000000 1.250000e-01
## [1870,] 0.433331375 0.1637029640 2.061445e-02
## [1871,] 0.426168977 0.1482326877 1.718640e-02
## [1872,] 0.204487093 0.0179374643 5.244873e-04
## [1873,] 0.211473264 0.4440938538 3.108657e-01
## [1874,] 0.397531973 0.3493462791 1.023338e-01
## [1875,] 0.386693968 0.3625255950 1.132892e-01
## [1876,] 0.433331375 0.1637029640 2.061445e-02
## [1877,] 0.291090430 0.4308138364 2.125348e-01
## [1878,] 0.433331375 0.1637029640 2.061445e-02
## [1879,] 0.442218287 0.1953987782 2.877966e-02
## [1880,] 0.318229499 0.0540389715 3.058810e-03
## [1881,] 0.148232688 0.4261689772 4.084119e-01
## [1882,] 0.293645732 0.0435030714 2.148300e-03
## [1883,] 0.440355309 0.2596967205 5.105149e-02
## [1884,] 0.169380014 0.0116813803 2.685375e-04
## [1885,] 0.407438488 0.3355375785 9.210835e-02
## [1886,] 0.204487093 0.0179374643 5.244873e-04
## [1887,] 0.424154946 0.3063341278 7.374710e-02
## [1888,] 0.090631399 0.0030210466 3.356718e-05
## [1889,] 0.430813836 0.2910904300 6.556091e-02
## [1890,] 0.407438488 0.3355375785 9.210835e-02
## [1891,] 0.417093250 0.1331148669 1.416116e-02
## [1892,] 0.179450170 0.4386559699 3.574234e-01
## [1893,] 0.444093854 0.2114732637 3.356718e-02
## [1894,] 0.407438488 0.3355375785 9.210835e-02
## [1895,] 0.163702964 0.4333313752 3.823512e-01
## [1896,] 0.243697761 0.4430868383 2.685375e-01
## [1897,] 0.204487093 0.0179374643 5.244873e-04
## [1898,] 0.362525595 0.3866939680 1.374912e-01
## [1899,] 0.433331375 0.1637029640 2.061445e-02
## [1900,] 0.444093854 0.2114732637 3.356718e-02
## [1901,] 0.438655970 0.1794501695 2.447048e-02
## [1902,] 0.406028666 0.1184250277 1.151354e-02
## [1903,] 0.440355309 0.2596967205 5.105149e-02
## [1904,] 0.293645732 0.0435030714 2.148300e-03
## [1905,] 0.293645732 0.0435030714 2.148300e-03
## [1906,] 0.266544426 0.0339238361 1.439193e-03
## [1907,] 0.243697761 0.4430868383 2.685375e-01
## [1908,] 0.259696720 0.4403553087 2.488965e-01
## [1909,] 0.377630828 0.0906313987 7.250512e-03
## [1910,] 0.424154946 0.3063341278 7.374710e-02
## [1911,] 0.360146521 0.0776786613 5.584740e-03
## [1912,] 0.349346279 0.3975319727 1.507880e-01
## [1913,] 0.442218287 0.1953987782 2.877966e-02
## [1914,] 0.104238696 0.3928997013 4.936432e-01
## [1915,] 0.426168977 0.1482326877 1.718640e-02
## [1916,] 0.362525595 0.3866939680 1.374912e-01
## [1917,] 0.444093854 0.2114732637 3.356718e-02
## [1918,] 0.291090430 0.4308138364 2.125348e-01
## [1919,] 0.444358195 0.2275981001 3.885821e-02
## [1920,] 0.306334128 0.4241549461 1.957638e-01
## [1921,] 0.375000000 0.3750000000 1.250000e-01
## [1922,] 0.444358195 0.2275981001 3.885821e-02
## [1923,] 0.406028666 0.1184250277 1.151354e-02
## [1924,] 0.397531973 0.3493462791 1.023338e-01
## [1925,] 0.443086838 0.2436977611 4.467792e-02
## [1926,] 0.349346279 0.3975319727 1.507880e-01
## [1927,] 0.340371253 0.0654560102 4.195898e-03
## [1928,] 0.291090430 0.4308138364 2.125348e-01
## [1929,] 0.424154946 0.3063341278 7.374710e-02
## [1930,] 0.377630828 0.0906313987 7.250512e-03
## [1931,] 0.443086838 0.2436977611 4.467792e-02
## [1932,] 0.375000000 0.3750000000 1.250000e-01
## [1933,] 0.430813836 0.2910904300 6.556091e-02
## [1934,] 0.424154946 0.3063341278 7.374710e-02
## [1935,] 0.406028666 0.1184250277 1.151354e-02
## [1936,] 0.426168977 0.1482326877 1.718640e-02
## [1937,] 0.438655970 0.1794501695 2.447048e-02
## [1938,] 0.349346279 0.3975319727 1.507880e-01
## [1939,] 0.211473264 0.4440938538 3.108657e-01
## [1940,] 0.438655970 0.1794501695 2.447048e-02
## [1941,] 0.440355309 0.2596967205 5.105149e-02
## [1942,] 0.275519452 0.4362391326 2.302373e-01
## [1943,] 0.424154946 0.3063341278 7.374710e-02
## [1944,] 0.416337988 0.3211750193 8.258786e-02
## [1945,] 0.266544426 0.0339238361 1.439193e-03
## [1946,] 0.335537578 0.4074384881 1.649156e-01
## [1947,] 0.377630828 0.0906313987 7.250512e-03
## [1948,] 0.360146521 0.0776786613 5.584740e-03
## [1949,] 0.204487093 0.0179374643 5.244873e-04
## [1950,] 0.386693968 0.3625255950 1.132892e-01
## [1951,] 0.424154946 0.3063341278 7.374710e-02
## [1952,] 0.349346279 0.3975319727 1.507880e-01
## [1953,] 0.438655970 0.1794501695 2.447048e-02
## [1954,] 0.204487093 0.0179374643 5.244873e-04
## [1955,] 0.349346279 0.3975319727 1.507880e-01
## [1956,] 0.397531973 0.3493462791 1.023338e-01
## [1957,] 0.426168977 0.1482326877 1.718640e-02
## [1958,] 0.426168977 0.1482326877 1.718640e-02
## [1959,] 0.430813836 0.2910904300 6.556091e-02
## [1960,] 0.430813836 0.2910904300 6.556091e-02
## [1961,] 0.227598100 0.4443581954 2.891855e-01
## [1962,] 0.321175019 0.4163379880 1.798991e-01
## [1963,] 0.090631399 0.0030210466 3.356718e-05
## [1964,] 0.443086838 0.2436977611 4.467792e-02
## [1965,] 0.386693968 0.3625255950 1.132892e-01
## [1966,] 0.430813836 0.2910904300 6.556091e-02
## [1967,] 0.275519452 0.4362391326 2.302373e-01
## [1968,] 0.291090430 0.4308138364 2.125348e-01
## [1969,] 0.444093854 0.2114732637 3.356718e-02
## [1970,] 0.335537578 0.4074384881 1.649156e-01
## [1971,] 0.443086838 0.2436977611 4.467792e-02
## [1972,] 0.360146521 0.0776786613 5.584740e-03
## [1973,] 0.444358195 0.2275981001 3.885821e-02
## [1974,] 0.362525595 0.3866939680 1.374912e-01
## [1975,] 0.362525595 0.3866939680 1.374912e-01
## [1976,] 0.259696720 0.4403553087 2.488965e-01
## [1977,] 0.377630828 0.0906313987 7.250512e-03
## [1978,] 0.275519452 0.4362391326 2.302373e-01
## [1979,] 0.104238696 0.3928997013 4.936432e-01
## [1980,] 0.349346279 0.3975319727 1.507880e-01
## [1981,] 0.416337988 0.3211750193 8.258786e-02
## [1982,] 0.306334128 0.4241549461 1.957638e-01
## [1983,] 0.204487093 0.0179374643 5.244873e-04
## [1984,] 0.025376792 0.2368500554 7.368668e-01
## [1985,] 0.442218287 0.1953987782 2.877966e-02
## [1986,] 0.291090430 0.4308138364 2.125348e-01
## [1987,] 0.266544426 0.0339238361 1.439193e-03
## [1988,] 0.118425028 0.4060286664 4.640328e-01
## [1989,] 0.163702964 0.4333313752 3.823512e-01
## [1990,] 0.424154946 0.3063341278 7.374710e-02
## [1991,] 0.406028666 0.1184250277 1.151354e-02
## [1992,] 0.430813836 0.2910904300 6.556091e-02
## [1993,] 0.442218287 0.1953987782 2.877966e-02
## [1994,] 0.293645732 0.0435030714 2.148300e-03
## [1995,] 0.444358195 0.2275981001 3.885821e-02
## [1996,] 0.416337988 0.3211750193 8.258786e-02
## [1997,] 0.443086838 0.2436977611 4.467792e-02
## [1998,] 0.349346279 0.3975319727 1.507880e-01
## [1999,] 0.430813836 0.2910904300 6.556091e-02
## [2000,] 0.335537578 0.4074384881 1.649156e-01
## [2001,] 0.362525595 0.3866939680 1.374912e-01
## [2002,] 0.306334128 0.4241549461 1.957638e-01
## [2003,] 0.340371253 0.0654560102 4.195898e-03
## [2004,] 0.340371253 0.0654560102 4.195898e-03
## [2005,] 0.293645732 0.0435030714 2.148300e-03
## [2006,] 0.416337988 0.3211750193 8.258786e-02
## [2007,] 0.033923836 0.2665444262 6.980925e-01
## [2008,] 0.392899701 0.1042386963 9.218388e-03
## [2009,] 0.443086838 0.2436977611 4.467792e-02
## [2010,] 0.444093854 0.2114732637 3.356718e-02
## [2011,] 0.436239133 0.2755194522 5.800410e-02
## [2012,] 0.362525595 0.3866939680 1.374912e-01
## [2013,] 0.349346279 0.3975319727 1.507880e-01
## [2014,] 0.443086838 0.2436977611 4.467792e-02
## [2015,] 0.266544426 0.0339238361 1.439193e-03
## [2016,] 0.397531973 0.3493462791 1.023338e-01
## [2017,] 0.104238696 0.3928997013 4.936432e-01
## [2018,] 0.424154946 0.3063341278 7.374710e-02
## [2019,] 0.417093250 0.1331148669 1.416116e-02
## [2020,] 0.360146521 0.0776786613 5.584740e-03
## [2021,] 0.318229499 0.0540389715 3.058810e-03
## [2022,] 0.443086838 0.2436977611 4.467792e-02
## [2023,] 0.438655970 0.1794501695 2.447048e-02
## [2024,] 0.386693968 0.3625255950 1.132892e-01
## [2025,] 0.321175019 0.4163379880 1.798991e-01
## [2026,] 0.444093854 0.2114732637 3.356718e-02
## [2027,] 0.065456010 0.3403712531 5.899768e-01
## [2028,] 0.236850055 0.0253767916 9.063140e-04
## [2029,] 0.169380014 0.0116813803 2.685375e-04
## [2030,] 0.360146521 0.0776786613 5.584740e-03
## [2031,] 0.444093854 0.2114732637 3.356718e-02
## [2032,] 0.054038972 0.3182294988 6.246727e-01
## [2033,] 0.406028666 0.1184250277 1.151354e-02
## [2034,] 0.406028666 0.1184250277 1.151354e-02
## [2035,] 0.417093250 0.1331148669 1.416116e-02
## [2036,] 0.438655970 0.1794501695 2.447048e-02
## [2037,] 0.407438488 0.3355375785 9.210835e-02
## [2038,] 0.227598100 0.4443581954 2.891855e-01
## [2039,] 0.377630828 0.0906313987 7.250512e-03
## [2040,] 0.306334128 0.4241549461 1.957638e-01
## [2041,] 0.392899701 0.1042386963 9.218388e-03
## [2042,] 0.426168977 0.1482326877 1.718640e-02
## [2043,] 0.397531973 0.3493462791 1.023338e-01
## [2044,] 0.360146521 0.0776786613 5.584740e-03
## [2045,] 0.243697761 0.4430868383 2.685375e-01
## [2046,] 0.440355309 0.2596967205 5.105149e-02
## [2047,] 0.275519452 0.4362391326 2.302373e-01
## [2048,] 0.335537578 0.4074384881 1.649156e-01
## [2049,] 0.321175019 0.4163379880 1.798991e-01
## [2050,] 0.442218287 0.1953987782 2.877966e-02
## [2051,] 0.433331375 0.1637029640 2.061445e-02
## [2052,] 0.443086838 0.2436977611 4.467792e-02
## [2053,] 0.306334128 0.4241549461 1.957638e-01
## [2054,] 0.442218287 0.1953987782 2.877966e-02
## [2055,] 0.444358195 0.2275981001 3.885821e-02
## [2056,] 0.397531973 0.3493462791 1.023338e-01
## [2057,] 0.349346279 0.3975319727 1.507880e-01
## [2058,] 0.397531973 0.3493462791 1.023338e-01
## [2059,] 0.340371253 0.0654560102 4.195898e-03
## [2060,] 0.133114867 0.4170932496 4.356307e-01
## [2061,] 0.436239133 0.2755194522 5.800410e-02
## [2062,] 0.243697761 0.4430868383 2.685375e-01
## [2063,] 0.375000000 0.3750000000 1.250000e-01
## [2064,] 0.424154946 0.3063341278 7.374710e-02
## [2065,] 0.386693968 0.3625255950 1.132892e-01
## [2066,] 0.436239133 0.2755194522 5.800410e-02
## [2067,] 0.377630828 0.0906313987 7.250512e-03
## [2068,] 0.392899701 0.1042386963 9.218388e-03
## [2069,] 0.360146521 0.0776786613 5.584740e-03
## [2070,] 0.442218287 0.1953987782 2.877966e-02
## [2071,] 0.275519452 0.4362391326 2.302373e-01
## [2072,] 0.424154946 0.3063341278 7.374710e-02
## [2073,] 0.266544426 0.0339238361 1.439193e-03
## [2074,] 0.392899701 0.1042386963 9.218388e-03
## [2075,] 0.349346279 0.3975319727 1.507880e-01
## [2076,] 0.266544426 0.0339238361 1.439193e-03
## [2077,] 0.362525595 0.3866939680 1.374912e-01
## [2078,] 0.377630828 0.0906313987 7.250512e-03
## [2079,] 0.443086838 0.2436977611 4.467792e-02
## [2080,] 0.426168977 0.1482326877 1.718640e-02
## [2081,] 0.436239133 0.2755194522 5.800410e-02
## [2082,] 0.377630828 0.0906313987 7.250512e-03
## [2083,] 0.293645732 0.0435030714 2.148300e-03
## [2084,] 0.360146521 0.0776786613 5.584740e-03
## [2085,] 0.306334128 0.4241549461 1.957638e-01
## [2086,] 0.349346279 0.3975319727 1.507880e-01
## [2087,] 0.375000000 0.3750000000 1.250000e-01
## [2088,] 0.321175019 0.4163379880 1.798991e-01
## [2089,] 0.443086838 0.2436977611 4.467792e-02
## [2090,] 0.335537578 0.4074384881 1.649156e-01
## [2091,] 0.275519452 0.4362391326 2.302373e-01
## [2092,] 0.377630828 0.0906313987 7.250512e-03
## [2093,] 0.349346279 0.3975319727 1.507880e-01
## [2094,] 0.406028666 0.1184250277 1.151354e-02
## [2095,] 0.362525595 0.3866939680 1.374912e-01
## [2096,] 0.293645732 0.0435030714 2.148300e-03
## [2097,] 0.392899701 0.1042386963 9.218388e-03
## [2098,] 0.392899701 0.1042386963 9.218388e-03
## [2099,] 0.424154946 0.3063341278 7.374710e-02
## [2100,] 0.377630828 0.0906313987 7.250512e-03
## [2101,] 0.318229499 0.0540389715 3.058810e-03
## [2102,] 0.291090430 0.4308138364 2.125348e-01
## attr(,"degree")
## [1] 3
## attr(,"knots")
## numeric(0)
## attr(,"Boundary.knots")
## [1] 18 80
## attr(,"intercept")
## [1] FALSE
## attr(,"class")
## [1] "bs" "basis" "matrix"6.3 Notes and further reading
- Level 1 frature creation (raw data to covariates)
- Science is key. Google “feature extraction for [data type]”
- Err on overcreation of features
- in some applications (images, voices) automated feature creation is possible/necessary
- that link from the lecture
- Level 2 feature creation (covariates to new covariates)
- The function
preProcessincaretwill handle some preprocessing - Create new covariates if you think they will improve the fit
- Use exploratory analysis on the training set for creating them
- Be careful about overfitting!
- The function
- If you want tot fit spline models, use the
gammethod in thecaretpackage which allows smoothing of multiple variables - More on feature creation/data tidying in the Obtaining Data course from the Data Science (done already)
7 Preprocessing with principle components analysis
library(caret)
library(kernlab)
data(spam)
inTrain <- createDataPartition(y=spam$type, p=0.75, list=FALSE)
training <- spam[inTrain,]
testing <- spam[-inTrain,]
M<- abs(cor(training[,-58]))
diag(M) <-0
which(M>0.8, arr.ind=T)## row col
## num415 34 32
## direct 40 32
## num857 32 34
## direct 40 34
## num857 32 40
## num415 34 40names(spam)[c(34, 32)]## [1] "num415" "num857"plot(spam[, 34], spam[,32])
7.1 Basic PCA idea
- We might not need every predictor
- A weighted combination of predictors might be better
- We should pick this combination to capture the “most information” possible
- Benefits
- Reduced number of predictors
- Reduced noise (due to averaging)
X<- 0.71*training$num415 + 0.71* training$num857
Y<- 0.71*training$num415 - 0.71* training$num857
plot(X, Y)
7.2 Related problems
You have multivariate X1 … Xn so X1=(X11 … Xm)
- Find a new set of multivariate variables that are uncorrelated and explain as much variace as possible
- If you put all the variables together in one matrix, find the best matrix created with fewer varibales (lower rank) that explains the original data
The first goal is statistical and the second is data compression
7.2.1 SVD
If X is a matrix with each variable in a column and each observation is a row then the SVD is a “matrix decompression”
X=UDV#T
where the column of U are orthogonal (left singular vectors), the columns of V are orthogonal (right singular vectors) and D is a diagonal matrix (singular values)
7.2.2 PCA
The principal components are equal to the right singular values if you first scale (substract the mean, devide by standard deviation) the variables.
smallSpam <- spam[,c(34, 32)]
prComp<- prcomp(smallSpam)
plot(prComp$x[,1], prComp$x[,2])
prComp$rotation## PC1 PC2
## num415 0.7080625 0.7061498
## num857 0.7061498 -0.7080625typeColor <- ((spam$type=="spam")*1+1)
prComp<- prcomp(log10(spam[,-58]+1))
plot(prComp$x[,1], prComp$x[,2], col=typeColor, xlab="PC1", ylab="PC2")
preProc <- preProcess(log10(spam[,-58]+1), method="pca", pcaComp = 2)
spamPC <- predict(preProc, log10(spam[,-58]+1))
plot(spamPC[, 1], spamPC[,2], col=typeColor)
trainPC <- predict(preProc, log10(training[, -58]+1))
modelFit<- train(training$type ~., method="glm", data=trainPC)
testPC<- predict(preProc, log10(testing[, -58]+1))
confusionMatrix(testing$type, predict(modelFit, testPC))## Confusion Matrix and Statistics
##
## Reference
## Prediction nonspam spam
## nonspam 644 53
## spam 73 380
##
## Accuracy : 0.8904
## 95% CI : (0.8709, 0.9079)
## No Information Rate : 0.6235
## P-Value [Acc > NIR] : < 2e-16
##
## Kappa : 0.7688
## Mcnemar's Test P-Value : 0.09052
##
## Sensitivity : 0.8982
## Specificity : 0.8776
## Pos Pred Value : 0.9240
## Neg Pred Value : 0.8389
## Prevalence : 0.6235
## Detection Rate : 0.5600
## Detection Prevalence : 0.6061
## Balanced Accuracy : 0.8879
##
## 'Positive' Class : nonspam
## modelFit<- train(training$type ~., method="glm", preProcess="pca", data=training)
confusionMatrix(testing$type, predict(modelFit, testing))## Confusion Matrix and Statistics
##
## Reference
## Prediction nonspam spam
## nonspam 658 39
## spam 50 403
##
## Accuracy : 0.9226
## 95% CI : (0.9056, 0.9374)
## No Information Rate : 0.6157
## P-Value [Acc > NIR] : <2e-16
##
## Kappa : 0.8372
## Mcnemar's Test P-Value : 0.2891
##
## Sensitivity : 0.9294
## Specificity : 0.9118
## Pos Pred Value : 0.9440
## Neg Pred Value : 0.8896
## Prevalence : 0.6157
## Detection Rate : 0.5722
## Detection Prevalence : 0.6061
## Balanced Accuracy : 0.9206
##
## 'Positive' Class : nonspam
## - Most useful for linear-type models
- Can make it harder to interpret predictors
- Watch for ouliers!
- Transform first (with logs/BoxCox)
- Plot predictors to identify problems For more see the “Elements of Statistical Learning” (have started reading, stopped at logistic regression)
8 Predicting with regression
- fit a simple model
- plug in new covariates and multiply by the coefficients
- useful when the linear model is (nearly correct)
Pros:
- Easy to implement
- Easy to interpret
Cons:
- Often poor performance in nonlinear settings
library(caret)
data("faithful")
set.seed(333)
inTrain<- createDataPartition(y=faithful$waiting, p=0.5, list=FALSE)
trainFaith<- faithful[inTrain,]
testFaith<- faithful[-inTrain,]
head(trainFaith)## eruptions waiting
## 1 3.600 79
## 3 3.333 74
## 5 4.533 85
## 6 2.883 55
## 7 4.700 88
## 8 3.600 85plot(trainFaith$waiting, trainFaith$eruptions, pch=19, col="blue", xlab="Waiting", ylab="Duration")
lm1<- lm(eruptions ~ waiting, data=trainFaith)
summary(lm1)##
## Call:
## lm(formula = eruptions ~ waiting, data = trainFaith)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.26990 -0.34789 0.03979 0.36589 1.05020
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.792739 0.227869 -7.867 1.04e-12 ***
## waiting 0.073901 0.003148 23.474 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.495 on 135 degrees of freedom
## Multiple R-squared: 0.8032, Adjusted R-squared: 0.8018
## F-statistic: 551 on 1 and 135 DF, p-value: < 2.2e-16lines(trainFaith$waiting, lm1$fitted.values, lwd=3)
coef(lm1)[1] + coef(lm1)[2]*0.8## (Intercept)
## -1.733619newdata<- data.frame(waiting=80)
predict(lm1, newdata)## 1
## 4.119307par(mfrow=c(1,2))
plot(trainFaith$waiting, trainFaith$eruptions, pch=19, col="blue", xlab="Waiting", ylab="Duration")
lines(trainFaith$waiting, predict(lm1), lwd=3)
plot(testFaith$waiting, testFaith$eruptions,pch=19, col="blue", xlab="Waiting", ylab="Duration")
lines(testFaith$waiting, predict(lm1, newdata=testFaith), lwd=3)
sqrt(sum((lm1$fitted-trainFaith$eruptions)^2))## [1] 5.75186sqrt(sum((predict(lm1, newdata=testFaith)-testFaith$eruptions)^2))## [1] 5.838559pred1 <- predict(lm1, newdata = testFaith, interval="prediction")
ord<- order(testFaith$waiting)
plot(testFaith$waiting, testFaith$eruptions, pch=19, col="blue")
matlines(testFaith$waiting[ord], pred1[ord,], type="l", col=c(1,2,2), lty=c(1,1,1), lwd=3)
modFit<- train(eruptions~waiting, data=trainFaith, method="lm")
summary(modFit$finalModel)##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.26990 -0.34789 0.03979 0.36589 1.05020
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.792739 0.227869 -7.867 1.04e-12 ***
## waiting 0.073901 0.003148 23.474 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.495 on 135 degrees of freedom
## Multiple R-squared: 0.8032, Adjusted R-squared: 0.8018
## F-statistic: 551 on 1 and 135 DF, p-value: < 2.2e-16
- Regression models with multiple covariates can be included
- Often useful in combination with other models
9 Prediction with regression, multiple covariates
library(ISLR)
library(ggplot2)
library(caret)
data("Wage")
Wage<- subset(Wage, select=-c(logwage))
summary(Wage)## year age sex maritl
## Min. :2003 Min. :18.00 1. Male :3000 1. Never Married: 648
## 1st Qu.:2004 1st Qu.:33.75 2. Female: 0 2. Married :2074
## Median :2006 Median :42.00 3. Widowed : 19
## Mean :2006 Mean :42.41 4. Divorced : 204
## 3rd Qu.:2008 3rd Qu.:51.00 5. Separated : 55
## Max. :2009 Max. :80.00
##
## race education region
## 1. White:2480 1. < HS Grad :268 2. Middle Atlantic :3000
## 2. Black: 293 2. HS Grad :971 1. New England : 0
## 3. Asian: 190 3. Some College :650 3. East North Central: 0
## 4. Other: 37 4. College Grad :685 4. West North Central: 0
## 5. Advanced Degree:426 5. South Atlantic : 0
## 6. East South Central: 0
## (Other) : 0
## jobclass health health_ins
## 1. Industrial :1544 1. <=Good : 858 1. Yes:2083
## 2. Information:1456 2. >=Very Good:2142 2. No : 917
##
##
##
##
##
## wage
## Min. : 20.09
## 1st Qu.: 85.38
## Median :104.92
## Mean :111.70
## 3rd Qu.:128.68
## Max. :318.34
## inTrain <- createDataPartition(y=Wage$wage, p=0.7, list=FALSE)
training<- Wage[inTrain,]
testing<- Wage[-inTrain,]
dim(training)## [1] 2102 11dim(testing)## [1] 898 11featurePlot(x=training[, c("age", "education", "jobclass")],
y=training$wage, plot="pairs")
qplot(age, wage, data=training)
qplot(age, wage, colour=jobclass, data=training)
qplot(age, wage, colour=education, data=training)
modFit<- train(wage~age+jobclass+education, method="lm", data=training)
finMod<- modFit$finalModel
print(modFit)## Linear Regression
##
## 2102 samples
## 10 predictor
##
## No pre-processing
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 2102, 2102, 2102, 2102, 2102, 2102, ...
## Resampling results
##
## RMSE Rsquared RMSE SD Rsquared SD
## 34.71874 0.2557389 1.608216 0.02112529
##
## plot(finMod, 1, pch=19, cex=0.5, col="#00000010")
qplot(finMod$fitted.values, finMod$residuals, colour=race, data=training)
plot(finMod$residuals, pch=19) #some variables are missing from the model and/or data
pred<- predict(modFit, testing)
qplot(wage, pred, colour=year, data=testing)
modFitAll<- train(wage~., data=training, method="lm")
pred<- predict(modFitAll, testing)
qplot(wage, pred, data=testing)
- Often use in combination with other models
- Read stuff on the above